Review of Iranian Journal Articles Indexed in Web of Science Based on Altmetric Indicators in Scientific Social Media
Journal Title: Webology - Year 2020, Vol 17, Issue 1
Abstract
The purpose of this study was to investigate the impact of social media on Iranian articles published in Iranian English-language journals indexed in the Web of Science (WoS) citation database. The present applied research used the survey methodology and scientometric approach based on altmetric indicators. The study population consisted of 124 Iranian English-language journals indexed in Web of Science in 2018. Data were also collected from the Altmetric database and its free "Bookmarklet" tool. Results of the study showed that Iranian journals had relatively low Altmetric coverage and only 417 (9%) of articles have been posted on social media at least once in 2018, the most important social media distributing Iranian journal articles were Mendeley (94%), and twitter (81.8%), respectively. The correlation between altmetric indicators and the citation rate of the examined articles showed a statistically significant, positive relationship between the number of readers of Iranian journal articles in Mendeley and Twitter with the number of citations received in the Web of Science database, so the regression model was significant.
Authors and Affiliations
Ameneh Shenavar and Abbas Doulani
Keywords
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- EP ID EP687842
- DOI 10.14704/WEB/V17I1/a214
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