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
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
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.
zahed bigdeli; farzaneh ghanadinezhad
Abstract
Purpose. the purpose of this research is to analyze scientific information sharing of Shahid Chamran University of Ahvaz faculty in social networks.Method. This study which is conducted through quantitative and qualitative methods, is an applied research in terms of aim, and is of a descriptive-analytic ...
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Purpose. the purpose of this research is to analyze scientific information sharing of Shahid Chamran University of Ahvaz faculty in social networks.Method. This study which is conducted through quantitative and qualitative methods, is an applied research in terms of aim, and is of a descriptive-analytic type in nature. The population included all faculty members of Shahid Chamran University. Interview was also applied to complete the information gathered through the questionnaire. Findings. The findings showed that most respondents spend less than 30 minutes daily to share scientific information through social networks. Among different capabilities of social networks, respondents mostly use their personal profiles to share their publications and interests. The most important barriers for them to use the social networks is lack of instruction on how to use social networks to share scientific information.Results. Using social networks among faculty members will encourage them to share scientific information and exchange ideas, and hence, help to develop science, create new information, and increase scientific production.
nasim memar; fatemeh baji; fatemeh hosseinizadeh
Abstract
Purpose: This study aims to investigate use ResearchGate network and its relationship with their social capital among the faculty members of Ahvaz Jundishapur University of Medical Sciences. Methods: This study done using a survey method.All faculty members of Ahvaz Jundishapur University of Medical ...
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Purpose: This study aims to investigate use ResearchGate network and its relationship with their social capital among the faculty members of Ahvaz Jundishapur University of Medical Sciences. Methods: This study done using a survey method.All faculty members of Ahvaz Jundishapur University of Medical Sciences who were a member of Reasearchgate website, formed the research community and a sample of 208 faculty member of them selected to participate in this study using a random sampling method. The research tool was a questionnaire of Parirokh and Ahmadi study, the reliability of this questionnaire recalculated and coefficient of Cronbach's alpha of it obtained 0/99. Results: The results indicate that the average use of ResearchGate website among the faculty members of Ahvaz Jundishapur University of Medical Sciences is 1.88and average components of the partnership, trust,trustworthiness and a sense of belonging and interest items of social capital of faculty members, respectively was %3.30, %3.46, %3.03and %3.52. In total, the average of social capital level of faculty members was34.3%. Conclusion: The results of this study suggest that there is a meaningful relationship between using ResearchGate and the social capital of faculty members of Ahvaz Jundishapur University of Medical Sciences.In other words,one can say that most faculty members who are heavy users of ResearchGate website have a high a sense of belonging and interest level of social capital and using this network. About the nature of scientific research that social networks are important. Because their results can help users to better cooperation in the fields of research.
Faramarz Soheili; Ali Mansoori
Volume 6, Vol.6, No.13 , May 2014, , Pages 89-106
Abstract
Aims: This research aimed to examine the status of co-authorship social network centrality measures in 3 Iranian Chemistry journals indexed in Thomson Reuter’s database.
Method: Research population includes all Iranian researchers that had published at least one article in the three Iranian Chemistry ...
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Aims: This research aimed to examine the status of co-authorship social network centrality measures in 3 Iranian Chemistry journals indexed in Thomson Reuter’s database.
Method: Research population includes all Iranian researchers that had published at least one article in the three Iranian Chemistry journals.
Results: The results of the study showed that significant correlation existed between productivity and all centrality measures at p=0/001, except for closeness centrality. The study also revealed that about 32% of the Productivity variance was determined by Centrality measures.
Conclusion: It can be concluded that the Iranian Chemistry co-authorship social network is relatively dense in analogy with that of areas such as Management, Information Science and Electrical and Electronic Engineering.
