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.