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.
