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
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
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
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.
Hooshang Hakimi
Abstract
Purpose: Quality evaluation of the provincial centers’ websites affiliated to Agricultural Research, Education and Extension Organization (AREEO) based on FAO indicesMethodology: This is an applied research that used a descriptive survey with a webometrics approach to evaluate content and structural ...
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Purpose: Quality evaluation of the provincial centers’ websites affiliated to Agricultural Research, Education and Extension Organization (AREEO) based on FAO indicesMethodology: This is an applied research that used a descriptive survey with a webometrics approach to evaluate content and structural factors of 38 websites of the provincial centers affiliated to Agricultural Research, Education and Extension Organization (AREEO) by Web Quality Assurance Checklist of the United Nations Food and Agriculture Organization (FAO), containing 121 indices under 4 general indices.Findings: The evaluation showed "average" score in content quality, "good" in accessibility, usability and search engine optimization, "average" in Interface and technical quality, "average" in regular monitoring and review, and "average" in general. None of the centers’ websites could reach to the levels of FAO indices. The major problems were: the lack of attention to using standards in website design portal, lack of scientific citations, lack of second language for scientific communication and exchange with international scientific communities, existence of discrete links and blank pages, template bugs, and lack of inserting copy right.Conclusion: Average level in general for the websites due to the existence of some essential problems is not desired and need to amend with expert designers, qualified managers and redesign with accredited website design standards.
Fatemeh karbalaie ali; abasali rostaminasab; Masoud Akhlaghi Bonari
Abstract
Objectives: The present research is to map and analyze the intellectual and conceptual structure of educational goals by using collaborative methods of the authors and the simultaneous use of vocabulary in the Web site of the United States in the years 1983-2017.Method: This research was conducted using ...
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Objectives: The present research is to map and analyze the intellectual and conceptual structure of educational goals by using collaborative methods of the authors and the simultaneous use of vocabulary in the Web site of the United States in the years 1983-2017.Method: This research was conducted using a scientometric approach. The research community publishes all articles published in the field of educational goals at the World Wide Web citations database from 1983 to 2017.Findings: Findings from 893 academic degrees in the field of educational goals at the Web Science Citation Center indicate that the most prolific countries, based on scientific outputs of researchers, have been in countries such as Britain, Canada, China, and Australia in 2010-2014. . In recent years, countries such as Brazil, China, India and Iran have been active in this field. Writers such as Wang, Liu, Yang and Ding have had the greatest impact on the production of articles for educational purposes.Results: Educational goals are based on the clusters drawn up in this field, covering issues of performance and practice, models and education, the role of education, students, motivations, and children.
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.
Scientometrics
Fatemeh Ahmadinasab; meysam javanbakht
Abstract
Background and Objectives: Words are the most important units of languages, means of communicating concepts, ideas, feelings, without words, we cannot talk about the objects, phenomena and concepts of the external and internal world. Words are the basic tools of thought, because they play a crucial role ...
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Background and Objectives: Words are the most important units of languages, means of communicating concepts, ideas, feelings, without words, we cannot talk about the objects, phenomena and concepts of the external and internal world. Words are the basic tools of thought, because they play a crucial role in the process of thinking. To think about the world and its phenomena, it is necessary to classify them based on similarities and differences. This classification is a kind of information organization represented in word formation. Along with the introduction and transfer of knowledge, technologies and new equipment’s into Iran, new scientific concepts and terminology enter into Persian. These scientific concepts and terminology will increase the number of borrowed words, direct or indirect; Indirect borrowed words are equivalents that may be appropriate or inappropriate for Persian. If the appropriate equivalents are made by the specialists of the area and in cooperation with linguists, they will more easily be accepted by the scientific society. But unfortunately, the problem is that these equivalents are sometimes made by non-specialists who are unfamiliar with linguistic problems, and therefore these new terms are not always appropriate.Methodology: In order to study Persian technical terms of the field, first, the main sources, books and articles were identified and examined by the quantitative content analysis method. The second stage of the research is descriptive and is carried out by studying and analyzing the rules of term coinage based on the Guidelines and Principles of Word formation by the Academy of Persian Language and Literature. The corpus of the study is comprised of all the papers and books in the field, compiled in the fourth edition of the Bibliography of scientometrics by Hamid Reza Jamali Mahmouei, as well as the most recent papers and books published in the field. In this research, sampling has been applied and those books and articles have been selected for review which focus on the basics and concepts. The reason is that in these sources more terms and concepts could be found. Finally, 5 books and 60 articles were studied. Overall, 605 terms were extracted. 180 terms out of these 605 terms were mentioned in only one of the sources, and since they were not found in other sources of research, there was no possibility of determining the degree of uniformity and consistency in the equivalents. However, it was possible that in other sources, different equivalents were used instead. Findings and results of the research largely reflect the present status of the technical terms of this field of knowledge. The statistical method used in this research is descriptive statistics.Findings: According to the statistics, 18% of the technical terms have more than one Persian equivalents, that is, one out of almost every six English terms in scientometrics. A closer look at the terms suggests that in some equivalents, in particular, the translation of proper names into Persian or, in other words, the transliteration of proper names has led into several different forms. However, some equivalents have been made through lexical borrowing, although they are phonetically and phonologically Persianized.The linguistic origins of improper equivalents are as follows:Using phrases instead of compound formsUsing prepositional phrases (PP)Not paying attention to the rule “the shortest form is the optimal form” in word formationIgnoring the vital role of affixes (Persian prefixes and suffixes) in forming Persian equivalentsNot paying attention to the important role of linguistic context and linguistic type on equivalent- finding.Not paying enough attention to the fine semantic differences and delicacies of technical terms and their Persian equivalents.Discussion: According to the findings, in the field of scientometrics, as in other disciplines, inconsistency, turbulence and sometimes linguistic mistakes are seen in equivalents. The factors of these inconsistencies are categorized in 6 categories as the lack of attention to the number of lexical components of the term, using ill-formed structures, using phrasal groups, paying no attention to the lexical category of the components of the technical terms, choosing long terms, using no affixation, lack of attention to the context and genre and neglecting differences and semantic delicacies of words.Another finding is less synonymy and polysemy in scientometrics, in comparison to the fields like linguistics. Perhaps the reason lies in the fact that scientometrics is a newly-introduced academic field and naturally less Persian texts are created. Undoubtedly, it is expected that by an increase in the number of researchers in the area and authoring more Persian texts in this field, an increase in the number of inconsistencies, synonyms and homonyms will be observed. It is necessary to mention that in recent years, in Iran, a special attention has been paying to Farsi as the language of science on the basis of macro language policies. In this regard, various linguistic and non-linguistic strategies are approved to develop Persian standard technical terms. In this regard, the approval of a scientific department in Persian Academy of Language and Literature is necessary to supervise and approve the equivalents. In addition, producing and using standard bilingual dictionaries and frequently dictionaries also increase the uniformity of equivalences and hence the transparency of Persian texts in scientometrics.
raana kousari; Ali Hossein Ghasemi; Firoozeh Zare-Farashbandi; Sayed Javad Mirsaeed
Abstract
Background and Objectives: Indexing texts are one of the important tools that help researchers, scholars, students, searchers, and others who need documents with complete information in them researches. One of the benefits of credible indices is the high number of international referrals to these indices, ...
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Background and Objectives: Indexing texts are one of the important tools that help researchers, scholars, students, searchers, and others who need documents with complete information in them researches. One of the benefits of credible indices is the high number of international referrals to these indices, which increases the visibility of these papers globally. As a result, it is possible to be cited with other papers and provide the opportunity to solve the content of the papers in the epistemological body of the scientific field related to their subject. The highest indices in the current division of the Ministry of Health are ISI, PubMed and Scopus. Given that valid indices have indicators for evaluating journals and accepting them, so the possibility of accepting various articles in indices based on the indicators that these indices apply can be different. Identifying the status and composition of papers indexed in the indices, while presenting an image of the orientation of the researchers in the methodology used in the research, can be an introduction to the study of the orientation of the incident in the content composition of the indices under consideration. Methodology: The population of this analytical cross-sectional study was all papers indexed at ISI, PubMed and Scopus bases with organizational affiliation of Ahwaz Jundishapur University of Medical Sciences and the 2015 publish date. The research sample was determined using a census method and 281 papers were included in the present study. Then, the status of the articles studied was studied with three factors: "type of study", "aim of the study" and "field and subject area", as well as the relationship between the methodological tend of the papers in the three factors mentioned with the probability of accepting papers in valid indices. The relationship between the methodological orientation of the two "aim" and "type of study" factors with the "field and subject area" was also examined. The descriptive statistics such as charts & etc were used andChi-square test by SPSS software was used for analyzing the data. Findings: Of the 281 entered papers in this research, the most papers were cross-sectional analytical (86 articles, 30.6%), and the smallest papers were case report (0 articles, 0%), the cohort (0 articles, 0%) and then systematic review (1 article, 0.4%). Also, the 3 international indices examined in terms of the type of study papers were oriented toward papers of a cross-sectional type. The highest number of studied papers were in the field of public health (37 studies, 13.2%), and the smallest number of studies were in the field of medical history, hospitals and health centers, medical profession (0 studies). Chi-square test determined the relationship between descriptive cross-sectional studies and general public health topics in the present study. Also, there was a meaningful statistical relationship between descriptive cross-sectional studies and the subject area of contagious diseases. A direct relationship between the aim of treatment and the subject area of the pathology in the studied papers was also confirmed by this test. Also, the Chi-square test between the papers aimed at treatment and the subject area of pharmacology has also shown a direct relationship. Finally, this test showed that there was a direct relationship between the prevention objective and the public health subject in the studies. Discussion: Assigning the most types of studies to cross-sectional studies can have many reasons, including the fact that researchers are more familiar with the stages of these studies, doing cross-sectional research is possible in many disciplines and groups at the university. On the other hand, each type of study has its own advantages and very few reports of cases, narrative review and systematic review, and the absence of a cohort study in the studied papers is not justified. In reviewed studies, the high number of studies aimed at treatment in the studies papers in this study itself is a strength point, however, the low number of articles aimed at prevention is one of the weaknesses of the university. One of the reasons that a large number of papers have been in public health subject area, is the multitude of related groups in the field. Also, in these groups, the number of professors and students is high and the research topics are very diverse. One of the reasons for the direct link between "public health" studies and "descriptive-cross-sectional" studies in the studied papers can be the nature of research in this regard. However, the public health area has received the largest number of articles in studied papers, the lack of systematic reviews and reviews in this subject area is unexpected. The results showed that the acceptance of clinical trials in international profiles was lower than other types of studies. Perhaps the credible international indices, due to the importance of clinical trials, would have a more rigorous line-up than other studies in accepting these studies.
Hossein Moradimoghadam; Rouhollah Khademi; Hamid Keshavarz
Abstract
Background and Objectives: One of the areas of research and study in Scientometrics is scientific collaborative studies. Katz and Martin (1997) define scientific collaboration as working with other researchers in order to achieve common goals for the production of new knowledge. This collaboration has ...
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Background and Objectives: One of the areas of research and study in Scientometrics is scientific collaborative studies. Katz and Martin (1997) define scientific collaboration as working with other researchers in order to achieve common goals for the production of new knowledge. This collaboration has several aspects one of which is co-authorship. Co-authorship can occur in scientific productions such as paper, notebooks and so on. In recent years, scientific collaboration, and especially co-authorship, has grown exponentially among authors and researchers. Perhaps this increasing growth can be attributed to the benefits that scientific collaboration holds for authors and their works. This research evaluates the scientific production of researchers based on Scientometrics indicators such as growth rate, cooperative indices, the most prolific researchers and their Hirsch index, analyzing the components of the co-authorship network of researchers, and investigating the structures existing in co-authorship networks using social network analysis and based on the Centrality measure such as degree, betweenness, eigenvectors and closeness. Also, the density measures, the coefficient of clustering, the distance between nodes and subgroups are also calculated and determined. The aim of this article was to study the scientific outputs of Semnan university researchers in term of quantitative indexes (number of outputs, research area, and year) and qualitative indexes (number of citations and H-Index). Mapping the co-author network of Semnan university researchers in the Web of Science database was the other purpose of the present paper. Methodology: The research was conducted based on Scientometrics methods. The research population included all the documents which mentioned Semnan University as their affiliation and were indexed in Web of Science from 1990 to 2015. Totally, 2106 documents were indexed in this timespan. The co-author network was mapped and analyzed by Coau.exe, Ucinet and Netdraw. In order to analyze the data, different software and measures were used. For this purpose, the data were first analyzed by coauthor.exe software and the authorship matrix was formed. The obtained matrix was a symmetric matrix 194 * 194, in which the diagonal cells were set to zero. Then the matrix was imported into the UCInet software to provide the proper format required for drawing software. After obtaining the outputs from the UCInet software, to draw up a map of the co-authorship the NetDraw software was used. Also, for all authors and researchers of the Semnan University, the h index was calculated using the Web of Science and the authors with the highest h index were identified. Findings: The results showed that Engineering (39%), Physics (19.5) and Mathematics (14%) were the subjects to which Semnan university researchers contributed. Totally, in the time span investigated, Iranian researchers produced 272019 documents out of which 2106 belonged to Semnan University. Therefore, this university ranked 30 among the Iranian universities. During the period studied, Semnan University produced 0.0049% of the universal scientific outputs. The results of the growth rate calculation indicated 43.22 for Semnan University researchers in the past fifty years that reveals a promising rising growth rate. Amjadi, Gorji and Orouji with 25, 23 and 15 H-Indexs ranked first to third, respectively. In term of citation, Amjadi ranked first with 2126 citations and Gorji with 1341 and Orouji with 629 citations were in the next ranks. Investigating the degree from among the centrality measurements was also calculated and the results showed that Gorji, Fereydoun and Asghari were in the top. The highest co-authoring rate occurred in 2005 which included 3 authors. As regards the fields of study, mathematics was the highest single-author subject. After obtaining the number of co-authorship of documents in different years, three indicators of co-authorship, including the cooperation index, degree of collaborative and Collaborative coefficient, were obtained, which showed that these collaborative indicators have increased significantly during the studied years. Also, there has been an increasing trend in two indicators of degree of collaborative and collaborative coefficient with several fluctuations over several years in general. The average of these three indicators for the whole years was 2.52, 0.84 and 0.50 respectively. Discussion: The results of data analysis showed that, although the flow of co-authorship among the Semnan University researchers has fluctuated in recent years, during the studied period, the researchers of Semnan University have tended to write co-authorship. Generally, documents with three authors were the most co-authorship. The results also showed that the co-authorship network of Semnan University researchers consisted of 6 main components and 7 isolated authors. The largest cluster composed of 171 authors. The smaller cluster comprised of 7 authors and the other clusters included two. Also, subject areas of engineering, physics and mathematics scored the highest number of articles among Semnan University researchers.
Afshin Hamdipour; Zahed Bigdeli
Volume 6, Issue 14 , August 2015, , Pages 1-18
Abstract
Purpose: Adoption and diffusion of innovation is one of the indicators of community progress. Innovation is a process in which ideas and new methods are created or developed. The aim of this study was to visualize the scientific structure of innovation diffusion during 1990 – 2011. Method: The ...
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Purpose: Adoption and diffusion of innovation is one of the indicators of community progress. Innovation is a process in which ideas and new methods are created or developed. The aim of this study was to visualize the scientific structure of innovation diffusion during 1990 – 2011. Method: The research method was scientometrics. During the period of 1990-2011, 3180 records were extracted in WoS and necessary analyses were performed on them. Findings: Results showed that the collaboration coefficient from 0.204 in 1990 raised to 0.508 in 2011 and the average of collaboration coefficient was 0.378 for the whole period. Due to the critical value at confidence level of 95% (0.0177> 0.8578), it can be said that the present work is in accordance with Lutka’s law. The fields of Management with 796 records (25%), Commerce with 546 records (17.2%), and Economy with 428 records (13.5%), ranked first to third respectively in order to diffusion of innovation research publishing. among 81 countries that have produced documents related to the diffusion of innovation, findings showed that over 57 percent were produced in the US and England. Iran with a production of 7 records (% 2.0) in this field ranked 34th. Results: The present study revealed significant correlation existing between cumulative annual frequency of scientific outputs, and year of study. An exponential regression was applied to model the high correlation between cumulative number of documents and the year of study. Using the regression equation, it can be estimated that in 2015, the number of scientific publications on this topic will be twice of the number of publications in 2006. Finally, by the scientific mapping of innovation diffusion on a global basis (GCS), eight clusters were identified and introduced.
Volume 4, Vol.3, No.9 , April 2012, , Pages 53-66
Abstract
Purpose: In this research, the effort has been focused on studying the scientific literature and materials of technology acceptance area and Output Technology Acceptance Model on Web of Science Base during 1989-2011.Method: Through the survey, bibliographic records with Scientometric method were extracted ...
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Purpose: In this research, the effort has been focused on studying the scientific literature and materials of technology acceptance area and Output Technology Acceptance Model on Web of Science Base during 1989-2011.Method: Through the survey, bibliographic records with Scientometric method were extracted from the Web of Science base under the subject of technology acceptance by searching the keyword “Technology Acceptance Model” and defining a time period of 1989-2011. The resultant records were then saved in plain text mode and were registered in HistCite software in order to be analyzed.Results: The findings suggested that in 2009 the highest number of literatures were produced for Technology Acceptance Model. They also showed that Shin and Venkatesh were the most active article producers on this subject. On the other hand, two articles from Davis in 1989 are the most effective articles in technology acceptance model. Moreover, 98% of produced documents in this area have been in English and 66.2% have been in the form of journal articles. Some 2,835 authors published articles on technology acceptance model during 1989-2011, citing a total of 36,340 references. The magazine which covered the most articles in this area was Computers in Human Behavior.Conclusion: It was noticed that the studies which developed and assessed the Technology Acceptance Model, were assumed as important and were most referred to.
Volume 3, Issue 8 , October 2011, , Pages 67-98
Abstract
The present research deals with the scientific wealth concept, presenting a framework for the measurement and manifestation of its geographical dispersion and studying the dispersion of scientific wealth in Iran. The purpose of the research is to study the cooperation rate of Iran’s provinces in ...
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The present research deals with the scientific wealth concept, presenting a framework for the measurement and manifestation of its geographical dispersion and studying the dispersion of scientific wealth in Iran. The purpose of the research is to study the cooperation rate of Iran’s provinces in scientific production as well as their use of it. The data employed in this research is the dissertations and journal articles available through IRANDOC databases. The theoretical foundations of scientific production and a literature review concerning it have been studied firstly. Then scientific wealth indices have been studied and categorized. 31 Iran’s provinces have been surveyed based on the main criteria of cooperation rate in scientific production and use rate of the produced items. Eventually, provinces have been ranked based on their cooperation rate in scientific production of the country using five different indices and the rich, medium, and poor provinces designated. Results indicate that some 70% of country’s scientific wealth belongs to only 20 provinces. Results also indicate that Tehran has a very large proportion of country’s scientific wealth considering all criteria. Results, while presenting an illustration of the geographic dispersion of country’s scientific wealth, can help to plan a balanced development for the whole areas of the county.
Mohammad Amin Erfanmanesh
Volume 3, Vol.3, No.7 , April 2011, , Pages 31-54
Abstract
This research aimed to identify scientific production of Iran in Scopus database during 1999 to 2008. The research population consisted of 64826 documents which at least one of their authors was affiliated to Iranian universities or research institutions, and had been indexed in Scopus during the period ...
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This research aimed to identify scientific production of Iran in Scopus database during 1999 to 2008. The research population consisted of 64826 documents which at least one of their authors was affiliated to Iranian universities or research institutions, and had been indexed in Scopus during the period studied. The results revealed that Iran's contribution to scientific production in the Middle-East in 2008 was 37 percent, while compared globally, it was less than 1%. These figures established the place of the Country in 2008 as the Second in the Middle-East, the Sixth in Asia, and the 22nd worldwide. The findings of the research showed that about 23% of the Country's scientific production available in Scopus is the result of international collaboration of Iranian researchers with other countries. Also, on the one hand,it was revealed that among others, the fields of Medicine, Chemistry, and Engineering have been the most productive branches in Iran. On the other hand, based on the results of a test of Regression, Bio-chemistry, Genetics, and Molecular Biology productions with 59.4 percent increase rate, had the highest level of increase during the decade studied. Further, examination of Iranian journals indexed in Scopus showed that Iranian Journal of Medical Archives with 638 indexed articles, had the maximum number of articles, and Journal of the Iranian Polymer with 753 citations received, was the most-cited Iranian journal in the Scopus database.
