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Measuring Social Media Activity of Scientific Literature: An Exhaustive Comparison of Scopus and Novel Altmetrics Big Data by Hassan, Saeed-Ul; Imran, Mubashir; Gillani, Uzair; Aljohani, Naif Radi; Bowman, Timothy D.; Didegah, Fereshteh is a scholarly article available to read on EtoBox.

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This paper measures social media activity of 15 broad scientific disciplines indexed in Scopus database using Altmetric.com data. First, the presence of Altmetric.com data in Scopus database is investigated, overall and across disciplines. Second, the correlation between the bibliometric and altmetric indices is examined using Spearman correlation. Third, a zero-truncated negative binomial model is used to determine the association of various factors with increasing or decreasing citations. Lastly, the effectiveness of altmetric indices to identify publications with high citation impact is comprehensively evaluated by deploying Area Under the Curve (AUC) - an application of receiver operating characteristic. Results indicate a rapid increase in the presence of Altmetric.com data in Scopus database from 10.19% in 2011 to 20.46% in 2015. A zero-truncated negative binomial model is implemented to measure the extent to which different bibliometric and altmetric factors contribute to citation counts. Blog count appears to be the most important factor increasing the number of citations by 38.6% in the field of Health Professions and Nursing, followed by Twitter count increasing the numbe

Author

Hassan, Saeed-Ul; Imran, Mubashir; Gillani, Uzair; Aljohani, Naif Radi; Bowman, Timothy D.; Didegah, Fereshteh

Published

2017

Language

EN