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
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
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.
Scientometrics
Ali Biranvand; Mohammad Ebrahim Samie; Sareh Rahmaniyan; Mahsa Keshtkar
Abstract
Purpose: The significant influence of scientific and citation networks among scientific societies has caused that while identifying influential individuals and universities in each field, the issue of knowledge sharing is also highly considered. With this in mind, the present study investigates the relationship ...
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Purpose: The significant influence of scientific and citation networks among scientific societies has caused that while identifying influential individuals and universities in each field, the issue of knowledge sharing is also highly considered. With this in mind, the present study investigates the relationship between Mendeley academic social network Altmetrics indices and Scopus, Web of Science, and Google Scholar databases in the field of economy, management, and accounting.Methodology: The present study is applied research that has been done in a descriptive-survey method with the Altmetrics approach. The statistical population of the research includes Iranian Authors and researchers in the field of economy, management, and accounting who had indexed documents in the Scopus database in the period of 2000-2019. 160 of the most prolific authors have been introduced and reviewed by Scopus. In order to analyze the data, in addition to descriptive statistics, in the inferential statistics section using Excel and SPSS software, a simple and multiple correlation test between the studied indicators has been used.Results: The results show a significant and positive relationship between the indicators studied in Mendeley with the scientometric indicators of Scopus, Web of Science, and Google Scholar databases. This relationship is very high in cases such as reading frequency, a number of citations, and HTML index score, Mendeley with Scopus, Web of Science, and Google Scholar, and weak in cases such as Mendeley reader index with Scopus co-authorship index. The results show that the degree of correlation between the citations received in Mendeley and other databases is very high. Also, the relationship between the authors' index in Mendeley and other databases is positive and significant. This relationship is stronger between Scopus and Web of Science than the other databases.Conclusion: Due to the positive and significant relationship between Mendeley indicators and indicators of other databases, the use of this academic social network in publishing and sharing research results can attract more citations.
