Scientometrics
Faramarz soheili; shiva shirdavani
Abstract
Purpose: This research tries to determinants of patent citations by using a survival analysis.Methods: Research method was patent citation analysis. Research population consisted of 25,392 patents in the USPTO database in the Data Processing: Artificial Intelligence (AI) (Category: 706). Cox and Kaplan-Meier ...
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Purpose: This research tries to determinants of patent citations by using a survival analysis.Methods: Research method was patent citation analysis. Research population consisted of 25,392 patents in the USPTO database in the Data Processing: Artificial Intelligence (AI) (Category: 706). Cox and Kaplan-Meier regression were used to analyze the data.Finding: The research findings showed that of the 6749 patents that received first citation, in the first three months, the probability of citing each patent was less than one percent, and the probability of being cited increased over time. So that probability has risen to over 90% after 84 months. Kaplan-Meier test results showed that it takes between 38 and 40 months on average to a patent obtain first citation in the field of AI.Results: The results of the Cox test showed that, at the significant level of 0.05, inventors and assignees were influenced the productivity and receiving citation of patents. Purpose: This research tries to determinants of patent citations by using a survival analysis.Methods: Research method was patent citation analysis. Research population consisted of 25,392 patents in the USPTO database in the Data Processing: Artificial Intelligence (AI) (Category: 706). Cox and Kaplan-Meier regression were used to analyze the data.Finding: The research findings showed that of the 6749 patents that received first citation, in the first three months, the probability of citing each patent was less than one percent, and the probability of being cited increased over time. So that probability has risen to over 90% after 84 months. Kaplan-Meier test results showed that it takes between 38 and 40 months on average to a patent obtain first citation in the field of AI.Results: The results of the Cox test showed that, at the significant level of 0.05, inventors and assignees were influenced the productivity and receiving citation of patents.
Scientometrics
Mariam Keshvari; Farideh Osareh; Faramarz soheili
Abstract
Background/Purpose: the most important goal of the present dissertation is the designing of the top authors’ scientific productivity model so as to achieve a combined set of quantitative and qualitative indicators and items influencing the scientific productivity and take a step towards the improvement ...
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Background/Purpose: the most important goal of the present dissertation is the designing of the top authors’ scientific productivity model so as to achieve a combined set of quantitative and qualitative indicators and items influencing the scientific productivity and take a step towards the improvement of the scientific productivity’s evaluation.Methodology: the present study has been conducted based on a mixed (quantitative-qualitative) method; the qualitative section uses the ideas and notions of the experts in the scientific productivity domain and the quantitative section deals with the application of the statistical tests and scientometrics’ indicators. Two statistical populations have taken part in the present study: 12 domestic and foreign experts in the scientific productivity field; 235 highly cited authors from around the globe. The study data have been collected using checklist, questionnaires and Clarivate Analytics-Web Of Science database. To analyze the data, SPSS 19 and LISREL 8 were used. The scientific productivity model has been verified based on the experts’ ideas in the population of the top authors using second order confirmatory factor analysis.Findings: the present study’s findings indicate that the scientific productivity model based on the experts’ notions in population of the studied top authors features a favorable goodness of fit. Considering the factor loads in the confirmatory factor analysis, the “bibliometrics component” with a factor load of 1, the “individual component” with a factor load of 0.69 and the “organizational component” with a factor load of 0.63 in the population of highly cited authors are influential in the scientific productivity model. Discussion and Conclusion: the findings of the present study indicate that a collection of organizational, individual and bibliometric factors influence the scientific productivity of the top authors and the tri-component model features a favorable goodness of fit. Combination of the quantitative and qualitative items can offer a more thorough image of the status of the individuals’ scientific productivity; the items offered in this model can be employed as solution by the individuals and organizations for enhancing scientific productivity.
Scientometrics
Maryam Emami; Nosrat Riahinia; Faramarz soheili
Abstract
Objective: The purpose of this study is to investigate the applicability of maps obtained from the co-word analysis of patents for medical and laboratory equipment using the opinions of experts in this field.Methodology: This research has been done in two stages. In the first stage, all-word analysis ...
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Objective: The purpose of this study is to investigate the applicability of maps obtained from the co-word analysis of patents for medical and laboratory equipment using the opinions of experts in this field.Methodology: This research has been done in two stages. In the first stage, all-word analysis technique was used to extract concepts and draw thematic maps based on rank centrality, intermediate and proximity indicators. Then, in the second stage, using the Delphi technique, the opinions of a group of experts in the field of medical and laboratory equipment were used to evaluate the applicability of the maps and analyzes extracted in the first stage. The statistical population of the present study in the first stage is all the patents in the field of medical and laboratory equipment that have been registered in the database of the US Patent and Trademark Office in the period 1984 to 2014. In the second phase of this research, to implement the Delphi method, a panel consisting of a group of specialists in the field of medical and laboratory equipment who had a history of service and activity in this field, was formed.Results: Thematic maps could be useful in providing an overview of the content of patents in the field of medical and laboratory equipment. If scientific plans in the field of medical and laboratory equipment become a road map, they can have a positive impact on the decisions of experts in this field. Also, by eliminating the shortcomings in the scientific plans of medical and laboratory equipment, it is possible to improve the existing technologies in this field. Therefore, drawn scientific maps can be a good tool for those who want to gain a basic understanding of patents in the field of medical and laboratory equipment.Conclusion: The maps obtained from the co-word analysis of patents in the field of medical and laboratory equipment have been able to be effective in understanding the content of this scientific field.
Scientometrics
Shahnaz Khademizadeh; Abdolhossein Farajpahlou; zeinab mohammadi
Abstract
The aim of this study was to identify and rank the factors affecting scientific productions in terms of faculty members of Shahid Chamran University of Ahvaz. The type of research is applied and descriptive-survey method. The statistical population of the study is 500 members of the faculty of Shahid ...
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The aim of this study was to identify and rank the factors affecting scientific productions in terms of faculty members of Shahid Chamran University of Ahvaz. The type of research is applied and descriptive-survey method. The statistical population of the study is 500 members of the faculty of Shahid Chamran University of Ahvaz. Using Morgan table, 217 people were selected as a sample by stratified and simple random sampling. The data collection tool was a researcher-made questionnaire. The research data were analyzed using SPSS software version 22 and lisrel software. The results of confirmatory factor analysis showed that the "social attitude and mentality about research" discourse is the strongest component of the socio-cultural factor; The "Effective Control and Evaluation of University Research Activities" item "The strongest component of organizational-managerial factors", "Confidence and self-confidence" items; "Introduction to Research Skills" The strongest components of individual and speech factors "Credits, budget and sufficient financial support for research" The strongest component of infrastructural factors were identified. The average rank indicates that the "individual factor" with an average rank of 3.13 is in the first priority and has been considered more than other components. Also, the component of "infrastructure factors" with an average rating of 2.70; The components of "organizational-managerial factors" with an average rank of 2.10 and "cultural-social factors" with an average rating of 2.07, respectively, have an impact on the scientific production of faculty members of Shahid Chamran University of Ahvaz. In general, according to the results of the research, each of the mentioned factors can somehow accelerate or disrupt the research process. These factors are not in fact specific to Iran and more or less appear in the world. According to the results of the research, strengthening the indicators affecting the process of scientific production by higher education officials and managers can provide a more suitable field for conducting applied research of faculty members and scientific promotion of the university.
Scientometrics
Ali Biranvand; Mohammad Ghanaatian; Hadi Alhaei
Abstract
Objective: This study, while identifying the scientometric indices of highly cited articles in the field of elementary particles in Clarivate Analytics and Dimensions databases, has investigated the relationship between these indices and the measures obtained from the presence of articles in citation ...
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Objective: This study, while identifying the scientometric indices of highly cited articles in the field of elementary particles in Clarivate Analytics and Dimensions databases, has investigated the relationship between these indices and the measures obtained from the presence of articles in citation databases and social networks.Methodology: The present study is of a fundamental type that has been done in a descriptive manner and with an alternative method. The statistical population of the study includes 5,702 articles in the field of elementary particles that were indexed in the Clarivate Analytics database between 2000-2019. The statistical sample of the research includes 102 articles that have been introduced by the Clarivate analytics Database as the most cited articles in the field of elementary particles. In order to investigate the relationship between Scientometric Indices of the articles studied in the databases and the measures obtained from the presence of these articles in Social Networks and Citation Databases, in addition to descriptive statistics tests, Pearson correlation test to examine the relationship between research variables has been used.Findings: There is a positive relationship between the articles viewed in Mendeley and the number of citations received through Dimensions and Clarivate Analytics. However, the Citation Databases of SiteLike and Conota do not have a significant relationship with the number of citations received by Dimensions and Clarivate Analytics. Publishing articles on Facebook, Wikipedia and has a positive and significant relationship with the number of citations received through Dimensions and Clarity Analytics. While there is no significant relationship between the publication of articles on Social Networks News, Blog, Twitter, Weibo Use, Patent, Facebook, Google+ User, Editor, Video Uploader and the number of citations to Dimensions and Clarivate Analytics.Conclusion: The connection between social networks and the Dimensions database is stronger than the analytical clarity database. According to the results, Mendelian use of citations to articles is more than other citation databases. Therefore, it is recommended to use Mendeleev to publish or follow information sources.
Scientometrics
Esmaeil khademizadeh; fatemeh nooshnfard; Amir Reza Asnafi
Abstract
Objective: The aim of this study was to investigate the thematic structure and production process and growth of articles extracted from master's theses in knowledge and information science of Iranian public universities.
Methodology:The present study has examined articles from the beginning to ...
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Objective: The aim of this study was to investigate the thematic structure and production process and growth of articles extracted from master's theses in knowledge and information science of Iranian public universities.
Methodology:The present study has examined articles from the beginning to the first half of 1398 through homogeneous analysis. 1425 dissertations were retrieved by searching the dissertation sites. Through the search of researchers, the titles of dissertations in the databases of "Meg Iran", "Normagz", "Science Search Engine", "Humanities Database", "University Jihad Database" and "Google Scholar" were retrieved 623 articles. Excel and Rover Prim software were used to analyze the bibliographic information of the articles and to analyze the homogeneity of the topics of the articles and to unify the keywords. Out of a total of 394 keywords, 59 keywords with a minimum frequency of 5 were selected using the Bradford's law and inclusion threshold to construct the co-occurrence matrix. Then, the created matrix was converted to UCNET software format, and maps and the value of degree, proximity and intermediate degree indicators were drawn and calculated through the software plugin, ie NetDraw
Findings: Findings showed that according to the indicators of intermediate centrality and rank, the highest value belongs to the topics of "academic libraries", "librarians", "knowledge management" and "scientometrics". Also, according to the Centrality of Proximity Index, the topics of "librarians", "academic libraries", "information literacy" and "knowledge management" have the most impact on the network. The growth trend reached its highest level in 1994 and 1995. Ferdowsi University of Mashhad with 100 titles and Shahid Chamran University of Ahvaz with 83 titles have the first and second ranks of nuclear universities among the universities that publish articles, respectively.
Conclusion: The greater focus of dissertation papers on scientometrics, knowledge management, librarians, information literacy, and academic libraries indicates the importance of these topics in postgraduate research.
Scientometrics
Hooshang Hakimi
Abstract
Purpose: The scientific activity of researchers in the Agricultural Research, Education and Extension Organization (AREEO) was subjected to study by altmetrics in scientific social network, ResearchGate.
Methodology/Approach: This survey was applied in terms of purpose and scientometric methodology with ...
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Purpose: The scientific activity of researchers in the Agricultural Research, Education and Extension Organization (AREEO) was subjected to study by altmetrics in scientific social network, ResearchGate.
Methodology/Approach: This survey was applied in terms of purpose and scientometric methodology with altmetric approach. Relevant data were obtained from the AREEO's scientometric database 2010-2020, as well as the altmetric data from 852 researchers' members of the ResearchGate scientific social network as the holder of the most numerous members and audiences among the scientific social networks in research institutes, national research centers and provincial research centers of the organization. Both descriptive and inferential statistics were used for statistical analysis. Descriptive statistics included the frequency and mean of each of the indicators measured in the ResearchGate network. Inferential statistics (Spearman correlation tests, Kruskal-Wallis and Mann-Whitney tests) were also used to measure the relationships and the presence or absence of differences between the studied variables.
Findings: The results showed that nearly one quarter of the researchers of the population were members of the ResearchGate network. Altmetric data showed that there was a direct relationship between the level of activity in ResearchGate and the academic rank of faculty members; with the increase of academic rank in faculty members, the amount of their scientific activity had also increased. The correlation between R. G. score respectively with citations (0.862), observations (0.813) and writings (0.799) was the strongest among its other indicators, but the weakest with questions (0.124) and answers (0.280).
Conclusion: The participation of the researchers in scientific social networks as a complementary research tool is an informal and non-mandatory scientific professional activity that can be inferred as a sign of potential capacity and desire for more activity to increase the visibility of their works, citations and scientific cooperation. This will increase their scientific activity and access to up-to-date knowledge, and consequently will increase the productivity. Therefore, informing and creating mechanisms by the managers of the bodies are recommended in this field to encourage the researchers to increase the quantity and quality of their scientific outputs.
Scientometrics
Masoume Kiani; Asefeh Asemi; Mozafar cheshmaeh Sohrabi; Ahmad Shabani
Abstract
An examination of the thematic process of the articles reveals the process of thematic growth and development of a scientific field over time. The knowledge map identifies concepts and connections between concepts in a scientific field, and by illustrating the internal structure of a scientific field, ...
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An examination of the thematic process of the articles reveals the process of thematic growth and development of a scientific field over time. The knowledge map identifies concepts and connections between concepts in a scientific field, and by illustrating the internal structure of a scientific field, it will help users to quickly have a clear understanding of the structure of the field by observing the concepts, relations, and distances. In this study, an attempt was made to identify the main topics (core) considered by researchers and specialists in this field by examining the thematic process of articles in this field. Also, the relationships of these concepts should be drawn in the form of thematic maps and knowledge maps. The paper aimed to provide a clear picture of the thematic relationships of articles in the field of bioinformatics in the Clarivate database. The research is an applied type that was performed through co-word analysis and social network analysis techniques. The present research community compiled all kinds of bioinformatics articles that have been indexed in the Clarivate database during the years 1975-2018. The study articles were retrieved using a keyword-based search strategy, It was designed by using a combination of keywords and phrases suggested by experts in the field of bioinformatics. Data analysis and thematic mapping of articles were performed using Ravar PreMap, BibExcel, UciNet, and NetDraw software. Drawing thematic maps of articles showed that according to the centrality indicators, issues such as Proteomics, Microarray, MicroRNA, Genomics, Gene Expression, Computational Biology, and Database are among the main topics in this field. The findings also showed that based on the calculation of the lifespan of the presence of keywords compared to the first year of presence in the articles and the last year of presence in the articles, topics such as LNCRNA, Big Data, Differentially Expressed Genes, Osteosarcoma, Next-Generation Sequencing, RNA-SEQ, Protein-Protein Interaction Network, High-Throughput Sequencing, Metagenomics and ITRAQ were identified as emerging topics. Thematic maps drawn in this field can provide researchers with a suitable model for determining research policy.
Scientometrics
Ali Akbar Khasseh; Faramarz soheili; Heidar Mokhtari; Shahdokht Paydar
Abstract
Purpose: In spite of their importance, especially in social sciences and humanities, book reviews have hardly been considered from a scientometric perspective. This study aimed at investigating the contribution made by Middle Eastern countries in book reviews indexed in the Web of Science (WoS) during ...
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Purpose: In spite of their importance, especially in social sciences and humanities, book reviews have hardly been considered from a scientometric perspective. This study aimed at investigating the contribution made by Middle Eastern countries in book reviews indexed in the Web of Science (WoS) during 2009-2018, emphasizing Iran.
Methodology: This applied study was a scientometric survey. At first, the needed data were extracted from WoS and imported into Excel. Then, isi.exe software was used for measuring scientometric indicators and determining co-authorship patterns.
Findings: Turkey, Iran and Emirate had the highest ranks in publishing book reviews, respectively. Regarding the share ratio of book reviews to all papers of a certain country, Cyprus and Jordan ranked first to second, respectively. The share of Middle Eastern countries in book reviews was very low in comparison with that of the World. These countries were more active in the subjects of history, religion, other social sciences and humanities, government and low, and area studies. Turkey, Iran and Emirate had the highest ranks in receiving citations for their book reviews, respectively. Most of book reviews were one-authored.
Conclusion: In conclusion, it can be said that in all,, the ranking of the Middle East countries, including among others, Iran in producing book reviews was not acceptable in the world as well as their received citation rates during the recent decade. In addition, these countries have disregarded book reviews in science and engineering.n conclusion, it can be said that in all,, the ranking of the Middle East countries, including among others, Iran in producing book reviews was not acceptable in the world as well as their received citation rates during the recent decade. In addition, these countries have disregarded book reviews in science and engineering. can be said that in all,, the ranking of the Middle East countries, including among others, Iran in producing book reviews was not acceptable in the world as well as their received citation rates during the recent decade.
Scientometrics
Elham Abdolahpour; Mansour Kolahkaj
Abstract
Introduction: Methodological study of articles published in 11 scientific research journals in the field of art in 2019 is the problem of the present study and specifically to questions such as how to collect data and what is the approach and type of analysis of these articles and others such as the ...
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Introduction: Methodological study of articles published in 11 scientific research journals in the field of art in 2019 is the problem of the present study and specifically to questions such as how to collect data and what is the approach and type of analysis of these articles and others such as the average number of authors per article, average scientific rank Academic and the predominant gender of the authors and the highest level of group participation among the
Methods: This is a small research and its initial data were collected from scientific databases and then statistically collected and analyzed using research methodological knowledge and scientometric tools. Library resources have also been used for definitions and research concepts.
Results: The data collection method of the majority of articles in the study population was library (66%), combined (field-library) (21%) and field (12%), respectively. Also, the dominant approach of articles is qualitative (88%), quantitative (7%) and combined (5%), respectively. Among the qualitative articles, the method of data collection (about 33%) is articles, libraries and (about 20%) composite (field-library) and among the quantitative articles (about 5%) are libraries, (about 25%) are field questionnaires and (Up to 50%) were interview field and (up to 20%) were combined (library-field). Out of 15 combined articles, the data collection method was 10 combined articles, 4 articles (about 4%) were library articles and 1 article (up to 10%) was a questionnaire field article. The average number of authors per article was 2.1 and most of the authors of the articles (60%) were male. Is the author (48%).
Conclusion: This study showed that the weight of qualitative research is higher than other researches. And the type of analysis was descriptive-analytical with a significant difference more than other types were used and semiotic and comparative analysis, after that, were in the next stage. The hypothesis of this article that most of the articles in the field of art have a qualitative approach and their type of analysis is descriptive-analytical is also confirmed, but a larger comprehensive study of this research found that the types of analysis.
Scientometrics
Ali Biranvand; Hadi Alhaei; ALi Shojaeifard
Abstract
Goal: Considering the positive effects of scientific productions of scientific-citation databases on scientometric indicators of the works indexed on those databases, this research investigates the effects of altmetric scores provided by the Mendeley Scientific-Citation Network on the scientometric indicators ...
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Goal: Considering the positive effects of scientific productions of scientific-citation databases on scientometric indicators of the works indexed on those databases, this research investigates the effects of altmetric scores provided by the Mendeley Scientific-Citation Network on the scientometric indicators of Scopus and Google Scholar. Methods: The present research is a basic study with a quantitative approach that uses the citation method to investigate the effects of altmetric scores of the scientific productions of the semantic web domain derived from the Mendeley and altmetrics databases on the indicator of the number of citations received for these works on Scopus. The thematic domain of the present research involves scientific productions of Iranian authors in the semantic web domain, indexed from 1960 to 2021 on the Scopus database. The statistical population of this research consisted of 271 records at the time data were extracted from the Scopus database (10/02/2022). For the statistical analysis, correlation coefficient and stepwise multiple regression tests were used in addition to descriptive and inferential statistics. Software used included Excel and SPSS. This research first searched scientific productions of the semantic web domain on Scopus. Then, to meet the main goal of the research, i.e., evaluating the scientific productions of Iranian authors in the semantic web domain and investigating the effects of the activities of these authors on the Mendeley and Altmetric databases on the indicator of the numbers of citations received on the Scopus, the search process was limited to Iranian-affiliated scientific production on Scopus. In the next stage, altmetric scores related to these scientific productions were retrieved from the Mendeley and Altmetrics databases and then prepared for statistical tests. The retrieved works were case studied to increase the accuracy of relating the themes of the works under study. Findings: A survey of scientific productions of semantic web domain on Scopus revealed that the highest number of the works in this domain was registered in 2010, with the first indexed
Scientometrics
Faramarz soheili; Ali Akbar Khasseh; mojgan sadeghi
Abstract
Abstract
Objective: In this research, the factors affecting the number of citations to the articles indexed in the Clarivate Analytics have been identified from the perspective of Library and Information Science specialists.
Method: The method of the present study is Delphi. By conducting a content analysis ...
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Abstract
Objective: In this research, the factors affecting the number of citations to the articles indexed in the Clarivate Analytics have been identified from the perspective of Library and Information Science specialists.
Method: The method of the present study is Delphi. By conducting a content analysis of the texts, the components affecting the number of citations have been extracted and a questionnaire has been designed based on these components. The research community is composed of Library and Information Science specialists.
Findings: The findings from the Delphi method led to the identification of 70 proposed sub-components under the five main components including the characteristics of the subject area, journal, article, authors and keywords.
Conclusion: The results of this study show that researchers, when deciding to cite articles, pay more attention to the following factors: publisher credibility, scope of fields and disciplines, credibility of the institution or university, credibility of journal publication dimensions, journal impact factor, the international publication of the journal and its Q index, article accessibility, type of access, authors reputation, presence in scientific social networks, having an online resume such as ORCID, article topic relevance, topic popularity, and number of keywords.
Finally, the following factors are among the features that, according to the Library & Information Science faculty members, are not related to receiving citations of articles, and for this reason, they were removed in the first stage of Delphi: the length of the article, the length of the abstract, the name of countries in the title, the presence of time in the title, the type of titles, the use of figures and appendixes in the articles, the sample size of the article, the length of the article title, the presence of the name of a place in the title, articles with more notes, articles with punctuation marks in the title, the presence of acronyms and abbreviations, providing detailed contact information of authors, the number of authors, and the number of self-citations of authors.
Keywords: citation, received citation, citation rate, factors affecting number of citations, Clarivate Analytics, Library and Information Science.
Scientometrics
Ebrahim Ezzati Larsari; Ali Akbar Khasseh
Abstract
This study tries to uncover the historical roots and influential publications in Machine Translation (MT) via a bibliometric analysis technique called RPYS. Preliminary data of study has been extracted from Web of Science concerning papers related to the MT from 1900 to 2021. Results exposed that the ...
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This study tries to uncover the historical roots and influential publications in Machine Translation (MT) via a bibliometric analysis technique called RPYS. Preliminary data of study has been extracted from Web of Science concerning papers related to the MT from 1900 to 2021. Results exposed that the supreme enterprise of MT was initiated by Shannon in 1948; the one who illuminated the notion of entropy in information technology. After that, Weaver contributed to the appearance of statistical word by word MT in 1949. Moreover, it was Levenshtein(1966) who introduced the revolutionary notion of binary codes capable of correcting deletions, insertions, and reversals in MT. In addition, Dempster et al. (1977) presented a novel statistical EM algorithm concerning maximum likelihood from incomplete data. Later, the works of scholars Brown et al. (1993), Hochreiter (1997), Papineni et al. (2002), and Koehn et al. (2007) have been instrumental in shaping and developing MT.In overall, MT has been developed tremendously during the recent years. More precisely, it seems to be fair to say that it was the language of mathematics (0&1), as well as statistics (optimal estimation) that could feed any linguistic information into machines and computers to be processed naturally. Furthermore, it should be noted that the first attempts for MT began with introducing the way of feeding linguistic information into machine-compatible language by the help of mathematical coding systems. As it has been fulfilled, researchers intended to present a model based on statistical procedures in which word by word translation could be directed more accurately and precisely. Slowly but surely, the idea of word by word translation was developed into phrase-based and syntax-based translation. Meanwhile, there were lots of attempts towards the logicality, as well as the reasonability of automated translations. In view of that, researchers tried to improve the quality of translations by incorporating the context role in achieving a well-matched MT from source to the target language, especially in retrieving the semantic and pragmatic information of elliptic sentences .
Scientometrics
Mostafa Ghannad; Mohammad Arabmazar Yazdi; Mohammad Hossein Safarzadeh Bandari; Reza HesarZadeh
Abstract
Purpose: The present paper aims to review the criteria of the scientific journals evaluation system of MSRT including the annual listing of the names of reviewers, reviewers’ registration with international scientific databases, and their geographical and institutional distribution. Moreover, the ...
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Purpose: The present paper aims to review the criteria of the scientific journals evaluation system of MSRT including the annual listing of the names of reviewers, reviewers’ registration with international scientific databases, and their geographical and institutional distribution. Moreover, the composition of reviewers, in terms of gender, specialty, and scientific rank, is investigated. Finally, interlocked reviewers are identified, and it is investigated what percentage of scientific publications in accounting is allocated to the journals’ own reviewers.
Methodology: this paper is descriptive survey research and uses a checklist to collect the data. Data analysis is performed by adopting an evaluative scientometric method. The statistical population of the current research comprises the websites of 19 accounting journals scientific in 2021.
Findings: Findings demonstrate that 17 out of 19 journals (90%) have annually listed the names of their reviewers on their website. less than 10 percent of reviewers have built up their profiles in the Publons database. The geographical distribution shows that 28 provinces contribution to the peer-review process. Furthermore, the institutional distribution of reviewers shows that 107 universities have at least one representative on the peer-review boards of accounting journals. More than 52% of reviewers hold the academic rank of assistant professor, 32% associate professor, and 12% full professor.
Women make up 27% of peer reviewers, and 93% of reviewers are accounting specialists. More than 231 out of 622 papers published in 2021 are authored by the journals’ own reviewers (37%). The investigation of interlocked reviewers reveals that Zohreh Hajiha, participating in the peer-review process of 14 journals have contributed to the largest number of journals, and the total number of reviewers’ names published in accounting journals (1364) represent 492 individual reviewers.
Conclusion: The status of referees in accounting publications does not indicate the favorable situation that is expected which can be rectified through better policymaking and fulfilling the scientific publication criteria by relevant authorities, and finally, lead to the improved quality of published papers and the development of accounting knowledge.
Scientometrics
Mahmood Amintoosi
Abstract
Abstract: Recent researches showed the inaccurate citations' situation in Iran. Researchers' unawareness of reference management software (citation management software, or bibliographic management software) was one of the main reasons for this situation. However, the current software does not ...
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Abstract: Recent researches showed the inaccurate citations' situation in Iran. Researchers' unawareness of reference management software (citation management software, or bibliographic management software) was one of the main reasons for this situation. However, the current software does not have proper support for the Persian language; one reason is the lack of necessary requirements for software implementation and development. A similar problem can also be seen in the bilingual citations to articles on many scientific Iranian journal websites. The purpose of this study is to investigate the problems of localization of reference management software in Persian and to provide operational solutions. Methods: The research method was narrative review and included reviewing several international and domestic citation management software and investigation of their requirements to support other languages. Ability for right to left typesetting of references, using synonyms of specific words, having Persian and English references at the same time, and the precedence of Persian references when sorting the references are among the requirements that a citation management software must have to support Persian. Results: In order to adapt the conventional international citation programs for use in Persian, new information fields -including language, langid, origlanguage and doclanguage - that are compatible with modern software should be considered. Some other challenges such as Persian labels, transliteration, romanization and bilingual citation reports for Persian articles are also investigated which are mentioned in the text of the article. Also, according to the proposed fields, it is recommended to export bilingual bibliographic information in scientific websites separately for each language. Conclusion: Without agreement and development of the necessary requirements, it is not possible to program and use Persian citation styles in a universal way. These requirements can be pursued and enacted nationally and internationally to be included in reference management software, journal websites, and scientific databases.
Scientometrics
Arman Sajedinejad; Mohammad Rabiei
Abstract
Objective
IT's rapid progress and far-reaching impact on other scientific disciplines have not only necessitated significant changes in its own subjects but have also catalyzed extensive changes in the form, amount, and methodology of research in other fields. The objective of the present investigation ...
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Objective
IT's rapid progress and far-reaching impact on other scientific disciplines have not only necessitated significant changes in its own subjects but have also catalyzed extensive changes in the form, amount, and methodology of research in other fields. The objective of the present investigation was to analyze research conducted in the realm of information technology, extract its central themes, and furnish scientometric data pertaining to these themes.
Methodology
This paper explores the topics of the information technology field by extracting and categorizing the relationships between commonly used terms and their temporal evolution. To achieve this, the researchers employed topic modeling, a well-established method for clustering textual data. Topic modeling algorithms utilize statistical methods to analyze and interpret the primary words in documents, allowing for the examination of the presented issues and their interconnections and changes over time. Considering the rapid changes in the field of information technology, this paper drew upon materials spanning the last decade, including 10,000 papers sourced from top-tier journals featured in the Web of Science database.
Results
The study extracted trends in keyword changes over the past decade and identified important keywords for each paper cluster after grouping them. The papers within the information technology domain were then categorized into eight themes, including hardware, communications, networks, and intelligent applications such as the Internet of Things. The study found that frequently used keywords have been continuously changing over time. The paper highlights that emerging keywords, including the Internet of Things, cloud computing, and Big Data, along with work areas such as Machine Learning and Deep Learning, are shaping the definition of information technology fields in the new era.
Discussion
Given the shift in research emphasis from hardware and communication to analysis and practical applications, it is likely that future scientific fields will focus on creating value through data analysis and human-machine communication in everyday applications, and information technology's relevance in other sciences will become more apparent. Future research can also concentrate on comparing global trends in information technology with domestic research, enabling the evaluation of the gap between the country's research and that of the world.
Scientometrics
Mostafa Rostami; Faramarz soheili; Ali Akbar Khasseh
Abstract
Background and Objectives: The increasing importance of science and technology in contemporary societies and their impact on human life has caused the relationship between these two elements to be analyzed from different perspectives. This study investigates the relationship between science and technology ...
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Background and Objectives: The increasing importance of science and technology in contemporary societies and their impact on human life has caused the relationship between these two elements to be analyzed from different perspectives. This study investigates the relationship between science and technology in the field of knowledge discovery using citation analysis of patents during 1995-2014.
Methodology: This is an applied research which has been conducted using citation analysis method. The relationship between science and technology has been investigated using the indicators established in the two mentioned areas. For this purpose, we referred to the USPTO database and in the first stage, the field of Data Processing was searched. In the next step, the subject category of the data processing domain was analyzed and the subject category of knowledge discovery was identified and provided to the subject experts. After reviewing and analyzing the subject headings, they selected category 603 under the subject of Data Processing as the main category in the field of knowledge discovery. In the next step, the Current US Classification (CCL) was used to retrieve all related permissions and to avoid false dropout and search results error. All patents related to the subject of knowledge discovery (subject category 603), data processing area, including 304 patents were recalled from the earliest year of registration (1995) to the last year of registration (2014).
In the next step, bibliographic information on the first page of patents was used for citation analysis. This information is categorized into three sections named U.S. Patent Documents, Foreign Patent Documents, and Other References. The data was extracted manually from the text file and entered into Microsoft Excel 2013, and then the relationships (formulas) were coded and executed in Excel.
Geometric average formula was used to calculate the growth rate of citations. Narin (2000) proposed formula was used to study and evaluate the relationship between science and technology. The science index calculates the average number of citations to scientific articles in a patent. Scientific power indicates the degree of participation of scientific knowledge in the technical field. The technical power measurement is used to calculate the amount of technology used in the patents. Technical strength is a measure of the qualitative weight of a patent.
The statistical population of this research includes 304 patents in the subcategory of knowledge discovery and registered in the US Patent and Trademark Database, which was registered in this database from 1995 to 2014. By referring to the USPTO database and searching for knowledge discovery, the category of related topics was examined and finally category number 603 was selected to study the relationship between science and technology in the field of knowledge discovery. Uspto2.exe, Aostsoft All Document, and Excel software were used to extract and analyze the data. Ravar PreMap software was used to calculate the frequency and Excel program was used to calculate the growth trend of patents, growth rate of citations and drawing statistical graphs.
Findings: Findings showed that the patents in the field of knowledge discovery during the research period have a growing trend of 30.07%. In other words, an average of 15.2 patents has been registered each year. The calculation of the growth rate of citing patents in the field of knowledge discovery using the geometric average shows 62.59% growth for a period of twenty years. Calculating the rate of citation to US patents using geometric averages shows a growth of 72.8%. Moreover, calculating the growth rate of citation to non-US patents based on geometric averages shows 87.2% growth. In this study, the link with science in the field of knowledge discovery was .3549. The closer the number of links with science is to 1, the stronger the scientific link is, and the closer it is to zero, the weaker the scientific link. In other words, the higher the citation of non-patent documents to the patents, the more it indicates that the invention in question has been produced based on research and scientific and academic theories. Scientific power in the field of knowledge discovery for the studied years was 10788.96 units, which indicates the influence of scientific documents in the patents of this field. In this research, the technical strength of the field of knowledge discovery is equal to 1967.52 units. The highest technical power (34.947) is related to 2011 and the lowest technical power (0.857) is related to 1995.
Discussion: The number of patents in the field of knowledge discovery at the USPTO database has grown by 30.07% in recent decades, with an average of 15.2 patents per year. These results show that the growth rate of patents has had ups and downs between these years. But further studies show that overall this growth has been accompanied by an upward slope; The highest number of patents was registered between 2008 and 2011. This growth has coincided with the growth of the global economy. The reason for this leap has been the need for global markets and free trade, which has led scientists, engineers and inventors to seek a share of the emerging market for emerging technologies. The results of this study showed that the rate of connection with science and its effect in the field of knowledge discovery is 35.49%. Considering the technical background in the field of knowledge discovery, this level of science participation in this field and its increase in the final years of the research period, indicates the growth of scientific research in line with technology and commercialization of scientific products of academic and industrial centers.
Scientometrics
Shahnaz Khademizadeh; Roghayeh Ghazavi; Maryam Aghaei
Abstract
Purpose:The purpose of this research is to investigate the relationship between the altmetrics metrics of the Altmetrics Explorer database and the citation indexes of the articles in the scientific productions of Shahid Chamran University of Ahvaz.Methodology:This research is of an applied type, which ...
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Purpose:The purpose of this research is to investigate the relationship between the altmetrics metrics of the Altmetrics Explorer database and the citation indexes of the articles in the scientific productions of Shahid Chamran University of Ahvaz.Methodology:This research is of an applied type, which was carried out with a scientometric approach and using altmetrics. The research data extraction source for each of the data will be as follows: the altmetrics indices of the articles were extracted from the Altmetrics Explorer database through the metrics provided for the articles. The academic productions of the faculties were also separated based on the organizational affiliation of the authors, and the correlation of the tested indicators at the level of the faculties was also measured in order to determine the difference between the scientific fields. In order to determine the relationship between these metrics and reference indexes, correlation test was used. Statistical analyzes were performed in order to determine the correlation values and determine the influential component/components using SPSS software.Findings:According to the results of the research in the entire scientific production of the university, there is a significant relationship between the total number of citations and the reference metrics of articles in policy sources, patents, Wikipedia, and Mendely, as well as citations in the Dimensions database (P-value<0.01). The relationship of FWCI index with Altmetrics total score and reference in news sources is significant with P-value<0.05 and with reference in Mendeley and citations in Dimentions database with P-value<0.01. Also, there is a significant relationship between the FWCI percentile with Mendelian reference scale and citations in Dimensions database with P-value<0.01.Conclusion:It is necessary for researchers to identify the path and methods of introducing articles in scientific databases and social networks (after the publication of the article or its publishable version) and to make optimal use of these portals in order to increase the amount of use and, as a result, the citation of their articles.
Scientometrics
Zhiyan Darvishi; Elmira Janavi; Maryam Sarrafzadeh
Abstract
Background and Objectives: The scientific community's presence in scientific and professional social networks such as LinkedIn has advantages such as improving scholarly works' visibility, sharing knowledge with professionals and students, interacting with other scholars, and promoting research's social ...
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Background and Objectives: The scientific community's presence in scientific and professional social networks such as LinkedIn has advantages such as improving scholarly works' visibility, sharing knowledge with professionals and students, interacting with other scholars, and promoting research's social impact. This study aims to analyse the activities of faculty members in the field of Information Science and Knowledge Studies in the social network of LinkedIn. Methodology: The present research is applied, and descriptive-analytical and the method used in this research is the library and social network analysis, which has been done with a quantitative approach. The research community consists of all faculty members working in Information Science and Knowledge Studies in Iranian public universities. Data were obtained manually during June and July 2019 by examining each of these members' profile pages. Then, the obtained data were entered into Excel software and tabulated and analysed based on research questions. Findings: The results showed that 59.13% of the faculty members are members of LinkedIn. Of this number, only 17.64% have been active in posting, commenting, and liking, with Maryam Sarrafzadeh and Amir Reza Asnafi accounting for the highest number. The most common topic of faculty posts on LinkedIn is "Sharing and introducing personal scholarly outputs" at 28.07%. In the LinkedIn interests section, 54 members followed 314 groups, influential people, companies, and educational institutions. In general, "Abdolreza Norouzi Chakli" and "Rasoul Zavaraqi" followed by 73 of the mentioned cases have the highest amount. The activities of "Maryam Sarrafzadeh" and "Abdolreza Norouzi Chakli" are more diverse than the others. The studied indicators determined that "Maryam Sarrafzadeh" with 3161 points and among the universities; the University of Tehran with 6271 points had the highest performance. Among the surveyed members, 75% of the people in their profile have a personal photo. Given the importance of having an image on your LinkedIn profile, 25% of people who do not have a photo on their profile are almost high. Examining the faculty members' profiles and the information they provided about themselves showed that they had performed poorly in this area. The low statistics of completing the experiences, achievements, and language sections show that people did not enter everything they are, but only briefly mentioned them. Recommendations, which are an essential part of LinkedIn, have received very little attention. The "About" section of most people gives minimal information about the person. This may be because people are not interested in describing their scientific and professional life descriptively or do not take completing this section very seriously. Discussion: In general, according to the findings of this study, including that less than 14% of faculty members on LinkedIn have shared posts, and also had the least interaction with the posts shared by other members in the form of likes and comments, it can be said that board members Information Science and Knowledge Iranian public universities have not used the facilities and capabilities of the LinkedIn social network to share knowledge and communicate with professionals and students. The faculty members' poor performance of the Iranian Information Science and Knowledge Departments on LinkedIn has prevented a real interaction between science and practice. So that specialists in this field, such as librarians, research experts and people involved in the areas of scientometrics and evaluation of science and technology, can not update their professional knowledge by following faculty members and published research to improve their working performance. Job search is one of the most critical applications of a LinkedIn social network, and many employers search for the required workforce from LinkedIn. In resume and job search workshops held by libraries in developed countries for job seekers, LinkedIn and how to present profile information in a way that attracts the employer is taught. But in Iran, the issue is not taken into account; given the high unemployment rate in Iran, it needs to be educated and taken seriously. It is suggested that faculty members of Information Science and Knowledge Studies have an active presence in this network and encourage their students to use it. Incorporating scientific and professional social networks such as LinkedIn into related courses and institutionalizing its use as a conduit for faculty and students and staying up-to-date scientifically can pave the way for it to be taught by future professionals and professionals. It is also suggested that different Library and Information Association branches hold educational workshops on scientific and professional communication in cyberspace to emphasize the importance of being on the social web to enhance the visibility of the scholarly works and increase the social impact of research and provide the necessary platform for education and public awareness.
Scientometrics
Seyyed HabibOlAllah Tabatabaiean; Payam Hanafizadeh; Hamed HajiMirzaei
Abstract
Background and objectivesThe purpose of the present study is to draw a thematic map of articles in the field of digital content industry with a focus on children and adolescents and to identify the emphasized points and gaps in this field. MethodologyThis research is applied and with the method of social ...
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Background and objectivesThe purpose of the present study is to draw a thematic map of articles in the field of digital content industry with a focus on children and adolescents and to identify the emphasized points and gaps in this field. MethodologyThis research is applied and with the method of social network analysis as one of the tools of scientometric studies, has drawn a science map of the field of digital content. In drawing a thematic map, the use of publishing support is necessary. For this purpose, researchers needed to analyze the content of articles written in the field of digital content industry. The research community is all articles in the field of digital content indexed in the Scopus citation database until February 2019. The Scopus citation database has relative uniformity in all disciplines and has better coverage in this area than other databases.findingsEducation-related keywords, as well as content production and distribution tools, have the highest rank in terms of degree centrality index. This means that education and production and distribution technologies play a significant role in a significant part of the work done in this area. For example, the degree of centrality of the keyword Education is 96, which indicates the relationship of this keyword with 96 keywords out of 115 network nodes, and therefore the educational aspect of digital content plays a significant role in research done so far. Also, the keyword Digital Device with a degree of 70 degree, indicates the significant role of digital tools in various research topics in this field.As can be seen in the thematic map as well as the tables related to the indicators of centrality, the most important keywords are more focused on the field of education, cyberspace and digital content production tools as well as the distribution platforms of these products.
Scientometrics
Shima Moradi
Abstract
Objective: Communication between community components and academia has always been of interest. Identify this interaction; it is conceivable to evaluate the impact of academia researches on distinct components of society (like government, people, industry), and Triple Helix is one of the leading models ...
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Objective: Communication between community components and academia has always been of interest. Identify this interaction; it is conceivable to evaluate the impact of academia researches on distinct components of society (like government, people, industry), and Triple Helix is one of the leading models in this regard. Due to the growing presence of users in social networks, as well as the possibility of monitoring their web metrics like the number of likes, visits, sharing, bookmarks, comments, hashtags,,etc., the present study attempted to distinguish the capacity of social networks to explore the interaction between society components and the academia based on the Triple Helix model. To Better understand these capacities, evidences for COVID19 researches on social media were provided.Method: This is desk research using an evidence-based approach.Findings and Conclusions: According to Helix models, social networks have outstanding potential in discovering the abovementioned sectors of the society, especially understanding web-based communications. However, in such analyzes, it is crucial to consider dimensions of web metrics according to users' level, timing, thematic context, normalization, experts in a specific field, etc., to present accurate and realtime data to policymakers in science, technology, and innovation. Regarding the capabilities provided in this article, there are considerations in interpreting Weber's metrics that are presented in this work.
Scientometrics
Ali Biranvand; Zahra Shanbedi
Abstract
Purpose: The purpose of this study is to investigate the presence and activity of Iranian authors and researchers in the field of nursing in the ResearchGate and Mendeley databases, based on Altmetrics metrics obtained from Scopus Scientific Database.Methodology: The present study is an applied research ...
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Purpose: The purpose of this study is to investigate the presence and activity of Iranian authors and researchers in the field of nursing in the ResearchGate and Mendeley databases, based on Altmetrics metrics obtained from Scopus Scientific Database.Methodology: The present study is an applied research and descriptive-survey that has been done by the scientometric method with the Altmetrics approach. The statistical population of the study includes Iranian authors and researchers in the field of nursing who had indexed documents in the Scopus database in the period of 2000-2019. 158 of these authors have been identified and reviewed by Scopus. In order to analyze the data, in addition to descriptive statistics, in the inferential statistics section with the help of Excel and SPSS software, the correlation test between Altmetrics indices in ResearchGate and Mendel with the database Scopus has been used scientifically.Results: The results show that except for the relationship between the follow-up index in ResearchGate with the Etch Index index and the citation received in Scopus, in other cases there is a significant relationship between the studied indicators. Also, there is a significant relationship between most of the indexes of the Researchgate and Mendelian databases, and only the RG score index in the Researchgate database has no significant relationship with the indexes of publications, citations, and the Achindex score in Mendelian. The relationship between most of the Mendelian and Scopus indices is also significant, and only the relationship of the followers in Mendelian with the Achindex index in the Scopus database lacks a significant relationship.Discussion and Conclusion: Considering the significant relationship between Altmetrics indexes of social networks and indexes of Scopus database, the discussion of the presence and activity of writers and researchers in scientific social networks should be pursued with more seriousness and importance.
Scientometrics
Oranus Tajedini; M. Bagher Negahban; Hamid Khaje
Abstract
Objective: The purpose of the present study was to investigate the relationship between academic environment, researchers' experiences and the quality of research output at Shahid Bahonar University of Kerman (SBUK), Iran.Methodology: This research was applied in purpose and conducted using a scientometric ...
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Objective: The purpose of the present study was to investigate the relationship between academic environment, researchers' experiences and the quality of research output at Shahid Bahonar University of Kerman (SBUK), Iran.Methodology: This research was applied in purpose and conducted using a scientometric approach. The research population included articles by researchers from SBUK, which were published in journals indexed in the Scopus citation database. SPSS software (version 21) was used for data analysis in this study.Findings: The findings of this study showed that the researchers' experiences have the potential to significantly predict the quality of research outputs, and an academic environment is not a suitable variable for predicting the quality of research outputs. In other words, it is the growing experience of researchers at SBUK that paves the way for the rising quality of their research outputs. Other findings of this study indicate that there is no relationship between the academic research environment and the quality of research output at SBUK. The analysis of the relationship between researchers' experience and their academic environment also showed that there is no significant relationship between these variables at SBUK.Conclusion: Based on the results of this study, in order to raise the quality of research activities, less emphasis should be placed on the quantity of research output. To provide an incentive for scholars to improve the quality of their research endeavors, academic institutions should stress the importance of the most highly cited research articles. By providing adequate research facilities and equipment (up-to-date libraries, well-equipped laboratories and advanced technologies), universities and institutes of higher education can create the ideal context for optimizing the productivity of research environments. Accordingly, any development in research experiences and the subsequent improvement in the quality of research outputs will enhance the country’s progress and excellence in various scientific fields. In this sense, the ideal goals for the comprehensive development of the country will be ultimately realized.
Scientometrics
Firoozeh Dokhani; Shima Moradi
Abstract
Background and Objectives: this survey was conducted to study the altmetrics status of journals in three countries of Iran, Turkey, and occupied Palestinian in two science citations and social science citation indexes. Moreover, the identification of those policy documents derived from these outputs ...
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Background and Objectives: this survey was conducted to study the altmetrics status of journals in three countries of Iran, Turkey, and occupied Palestinian in two science citations and social science citation indexes. Moreover, the identification of those policy documents derived from these outputs was the other objective of the current study.Methodology: This was applied research conducted with a descriptive method utilizing scientometrics and altmetrics indicators. journals indexed in the Science and Social Sciences Citation Indexes of the Web of Science was extracted using the citation reports for all three mentioned countries separately on 2018.Findings: The results showed that Iran had the highest number of articles indexed in the science and social sciences indexes, as well as the highest indexed journals. Furthermore, in all countries, the indexed journals in Science have received the most attention in social media. Less than half of the Iranian publications, Turkey and occupied Palestine in both indexes have been referred to in policy documents, while Turkish got more mentions. The medical and environmental related subjects were at the main concentration of the most policy documents in the mentioned countries. Discussion: Given the importance of referring to scientific publication/outputs in policy, documents are really important to express the impact of research, designing and taking action which leads to the higher quality and wider coverage of policy documents by altmetrics providers.
Scientometrics
sara dakhesh; Elham Rezaei; Marzieh Mahmoodi; Ali Hamidi
Abstract
Background and Objectives: Altmetrics enable monitoring, tracking, and evaluating the role of authors and scientific and research publications in line with citations. Therefore, the present study aimed to determine the effects of altmetrics on Field-Weighted Citation Impact (FWCI) of articles published ...
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Background and Objectives: Altmetrics enable monitoring, tracking, and evaluating the role of authors and scientific and research publications in line with citations. Therefore, the present study aimed to determine the effects of altmetrics on Field-Weighted Citation Impact (FWCI) of articles published about osteoporosis by Iranian researchers and indexed in Scopus during 2008-2017Methodology: This study was a descriptive survey and the research population included all the articles on osteoporosis, as a keyword by affiliated authors of Iran, indexed in Scopus during 2008-2017. Based on the initial search, 512 articles were retrieved on February 25, 2018. In addition, the cut-off point was set to six, implying that all the articles with more than six citations were selected as samples. In this regard, 114 articles received at least six citations, and the FWCI for each of these articles was separately extracted from the Scopus database. Subsequently, PlumX data for these articles were manually extracted in five categories of Usage, Captures, Mentions, social media, and Citations. Finally, these data were analyzed using the statistical software R, version 3.3.1.Findings: Among the examined categories, Usage with the highest mean (216.482 ±468.081) was significantly different from the other categories. However, mentions (13.271±23.478) was least welcomed by users. Besides, among the studied metrics, ‘Exports-Saves’ (p=0.022), ‘Citation Indexes’ in CrossRef (p=0.041), ‘Time’ (p>0.001), and ‘Citation Indexes’ in Scopus (p>0.001) had a positive and significant correlation with FWCI.Discussion: In general, the average FWCI increased by an increase in ‘Citation Indexes’ (in Scopus and CrossRef), ‘Exports-Saves’, and publication time. Therefore, it is recommended that universities, institutes, and research centers be made aware of the importance of researchers’ presence and membership in social networks. This increases the visibility of their research, and thus they can receive enough feedback to evaluate their works.
