Comparing the Citations Counts and Altmetrics of the Top Medical ScienceJournals in Scopus Journal Article

Writer: Salajegheh، Mozhdeh ؛ Dayari، Sareh ؛

International Journal Of Information Science And Management January & June 2019,Volume 17 - Number 1 ، الف (Ministry of Science/ISC (‎14 page(s) - From 59 to 72 )

Keywords: scientometrics Facebook mentions Altmetrics F1000 Citations counts G+

Abstract:

Early altmetric investigations have focused on measuring the correlations between citation and altmetrics to partially validate the new metrics articles (Thelwall, Haustein, Larivière, & Sugimoto, 2013; Priem, & Hemminger, 2010; Costas, Zahedi, & Wouters, 2014). The main aim of this research is to study the relationship between citation count indicator and almetrics or the new metrics in social -web of medical sciences journals. Present research is an applied research and the method used for doing it, is descriptive from correlation type which test relationship between citation count indicators and almetrics or the new metrics in social web. 111 medical sciences journals which have the highest SJR in Scopus databases were selected as research population from Scimago Journal Ranking (SJR) 2013-2014. Altmetrics—alternative metrics usually based on data from the social web which could be seen as a particularly promising approach in efforts to find appropriate measures for assessing Medical Science Journals were extracted through altmetrics.com. Research results show that there is significant correlation between Medical science journals altmetrics tools like F1000, Mention, Facebook, and News and their citation Numbers. There is no significant correlation between Medical science journals altmetrics tools like Reddit, Blog posts, Google plus, Tweets and their citation numbers. Structural equation modeling also shows the same results.

Machine summary:

com Abstract Early altmetric investigations have focused on measuring the correlations between citation and altmetrics to partially validate the new metrics articles (Thelwall, Haustein, Lariviere, & Sugimoto, 2013; Priem, & Hemminger, 2010; Costas, Zahedi, & Wouters, 2014). The main aim of this research is to study the relationship between citation count indicator and almetrics or the new metrics in social -web of medical sciences journals. Research results show that there is significant correlation between Medical science journals altmetrics tools like F1000, Mention, Facebook, and News and their citation Numbers. There is no significant correlation between Medical science journals altmetrics tools like Reddit, Blog posts, Google plus, Tweets and their citation numbers. During the last decade, usage data have been proposed to help measure scientific impact and to supplement citation analysis (Rowlands and Nicholas, 2007; Bollen, Van de Sompel, Smith, & Luce, 2005; Schloegl & Gorraiz, 2011). In this sense, the more traditional metrics based on citations, although widely used and applied in research evaluation, are unable to measure the online impact of scientific literature (for example via Facebook, Twitter, reference managers, blogs or wikis) and also lack the ability of measuring the impact of scholarly outputs other than journal articles or conference proceedings, ignoring other outputs such as datasets, software, slides, blog posts, etc. com Pearson Correlation results in Table 2 show that medical science journals Citation counts and Altmetrics like: Tweet, Facebook, Google Plus, F1000, Blogs, Reddit have correlation.

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