Ali Biranvand; Maryam Golshani; Faeze Delghandi
Abstract
Purpose: Considering that citation is one of the important criteria in measuring the relevance and impact of research publications, the current study examines the possibility of predicting the number of citations received by semantic web products through Citescore indicators. SNIP and SJR are publications ...
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Purpose: Considering that citation is one of the important criteria in measuring the relevance and impact of research publications, the current study examines the possibility of predicting the number of citations received by semantic web products through Citescore indicators. SNIP and SJR are publications in this field.Methodology: The present study is of a fundamental type that has been done in a descriptive manner with a scientometrics approach. The statistical population of this research includes 42,270 documents produced in the field of semantics that have been published by journals indexed in the Scopus database between 1960-2021. After the initial review, 10 titles of the seminary and semantic production journals that have published 15182 titles of scientific productions in this field were selected as a statistical sample. In order to investigate the relationships between research variables, the Pearson correlation coefficient test and multiple linear regression were used with the help of Excel and SPSS software.Results: According to (r = 0.860; p = 0.812) there is no correlation between the number of citations and the SNIP index. Also, there is no significant relationship between the number of citations with SJR (r = 0.580; p = 0.874) and the number of citations with Citescore (r = 0.480; p = 0.896). The results of multiple regression showed that none of the three indicators of cite score, SNIP, and SJR can predict the number of citations received in the Scopus database.Conclusion: There is no significant relationship between the indicators of cite score, SNIP,
Afsaneh Bazrafshan; Ali Biranvand; Ali Shojaeifard
Abstract
Purpose: The purpose of this study is to examine whether PlumX Altmetric scores can predict the Scopus citation counts for the field of Particle Physics. Also, to examine the relationship between the number of citations received by particle physics highly cited documents in Scopus and their Altmetric ...
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Purpose: The purpose of this study is to examine whether PlumX Altmetric scores can predict the Scopus citation counts for the field of Particle Physics. Also, to examine the relationship between the number of citations received by particle physics highly cited documents in Scopus and their Altmetric scores in PlumX. The sample consists of 103 highly cited documents in Particle Physics indexed during 2000-2019 in Scopus. In order to examine the relationship between Scopus citation counts and PlumX Altmetric scores, Spearman’s correlation test and multiple regression analysis used. The result of the Spearman’s correlation analysis shows a strong relationship between the number of PlumX citations and Scopus citations. Furthermore, PlumX Captures and PlumX Mentions have a significant relationship with Scopus citation counts, but there is no relationship between PlumX Usage and PlumX Social Media. The results of regression analysis show that PlumX Citations, Captures, Usage, Mentions, and Social Media, respectively predict 62, 60, 55, and 47 percent of Scopus citation counts. Based on these results, one can conclude that PlumX Altmetric scores can predict the number of Scopus citations, and an increase in activity in PlumX lays the ground for receiving more citations by documents in Scopus.
Ali Biranvand; Zahra Shanbedi
Abstract
The aim of this study was to identify the effect of Altmetrics indexes of ResearchGate social network on scientometric indicators of Scopus, Web of Science, and Google Scholar citation databases. The present study is an applied research and descriptive-survey research that has been done by the scientometric ...
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The aim of this study was to identify the effect of Altmetrics indexes of ResearchGate social network on scientometric indicators of Scopus, Web of Science, and Google Scholar citation databases. The present study is an applied research and descriptive-survey research that has been done by the scientometric method with the Altmetrics approach. The statistical population of the study includes Iranian researchers and writers in the field of nursing who in the period 2000-2019 and on the date of research (20/03/2020), had an indexed document in the Scopus citation database and were also a member of the scientific social network ResearchGate. The statistical sample of the study includes 158 high-profile authors introduced by Scopus. In addition to descriptive statistics, in the inferential statistics section, the correlation test between the studied indices has been used with the help of SPSS and Excel software.The research findings show that there is a significant relationship between most of the ResearchGate indices and the indices studied in Scopus, Web of Science, and Google Scholar. But there is no significant relationship between the index of followers with H-index indexes and citations received in Scopus and Web of Science databases. Examining the relationship between the number of citations received in Google Scholar, Scopus, and Web of Science databases shows that there is a significant relationship between the number of citations received in Scopus, Web of Science, and Google Scholar databases.
Ali Biranvand; Mohammad Ebrahim Samie; Sareh Rahmaniyan
Abstract
This study investigates the relationship between the measurements obtained from the social networks of ResearchGate and Academia with the scientometric indicators of Scopus and Web of Science databases. The present study is of a fundamental type that has been done in a descriptive manner and with an ...
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This study investigates the relationship between the measurements obtained from the social networks of ResearchGate and Academia with the scientometric indicators of Scopus and Web of Science databases. The present study is of a fundamental type that has been done in a descriptive manner and with an algorithmic approach. The statistical population of the study includes the most prolific authors in the field of Iranian Business Management who have uploaded their documents in the Scopus database between 2000-2019. 160 of these authors, who had the most documents indexed in Scopus, respectively, have been introduced as a statistical sample of the research. In order to investigate the relationship between the metrics obtained by the authors' activities in the research networks of ResearchGate and Academia with the scientometric indicators of Scopus and Web of Science databases, the statistical tests of correlation with the help of Excel and SPSS has been used. The presence and activity of Business Management writers on the ResearchGate social network is much higher than that of the academia. The relationship between the number of records, citations, H-index and co-authorship in Scopus with the metrics of citation number, citations, index, readers, RJ score and followers in ResearchGate is positive and significant. However, there is no significant relationship between Scopus scientometrics and the criteria of followers, viewers, and co-authors in the academia.
Golnessa Galyani-Moghaddam; Hassan Jafari; Ashgar Sattarzadeh
Abstract
This research is set to study scientific publications published by faculty members of Allameh Tabatab’i University in two international citation indexes including the Science Citation Index and Scopus. Duration of the study was 1987 till the end of 2015. Scientometrics methods were used to do the ...
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This research is set to study scientific publications published by faculty members of Allameh Tabatab’i University in two international citation indexes including the Science Citation Index and Scopus. Duration of the study was 1987 till the end of 2015. Scientometrics methods were used to do the study. Searches in the mentioned databases were the main tool of data gathering. The results show that the growth rate was 29.49 and 32.51, and density indicator is 0.008 and 0.005 in the Science Citation Index and Scopus respectively. This indicates a low density and low collaboration among authors. Faculty of Management and Accounting was the most productive one. The United States of America and Switzerland were top countries in international scientific collaborations. In addition, scientific collaboration at national level was mostly done by authors from the Islamic Azad University, Tehran University and Amir Kabir University of Technology. There was an overlap of 21 percent among indexed publications by the two databases.
