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      Characterizing Social Media Metrics of Scholarly Papers: The Effect of Document Properties and Collaboration Patterns

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      PLoS ONE
      Public Library of Science

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          Abstract

          A number of new metrics based on social media platforms—grouped under the term “altmetrics”—have recently been introduced as potential indicators of research impact. Despite their current popularity, there is a lack of information regarding the determinants of these metrics. Using publication and citation data from 1.3 million papers published in 2012 and covered in Thomson Reuters’ Web of Science as well as social media counts from Altmetric.com, this paper analyses the main patterns of five social media metrics as a function of document characteristics (i.e., discipline, document type, title length, number of pages and references) and collaborative practices and compares them to patterns known for citations. Results show that the presence of papers on social media is low, with 21.5% of papers receiving at least one tweet, 4.7% being shared on Facebook, 1.9% mentioned on blogs, 0.8% found on Google+ and 0.7% discussed in mainstream media. By contrast, 66.8% of papers have received at least one citation. Our findings show that both citations and social media metrics increase with the extent of collaboration and the length of the references list. On the other hand, while editorials and news items are seldom cited, it is these types of document that are the most popular on Twitter. Similarly, while longer papers typically attract more citations, an opposite trend is seen on social media platforms. Finally, contrary to what is observed for citations, it is papers in the Social Sciences and humanities that are the most often found on social media platforms. On the whole, these findings suggest that factors driving social media and citations are different. Therefore, social media metrics cannot actually be seen as alternatives to citations; at most, they may function as complements to other type of indicators.

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          Tweeting biomedicine: An analysis of tweets and citations in the biomedical literature

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            Validating online reference managers for scholarly impact measurement

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              Scientometrics 2.0: New metrics of scholarly impact on the social Web

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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                17 March 2015
                2015
                : 10
                : 3
                : e0120495
                Affiliations
                [1 ]École de bibliothéconomie et des sciences de l’information, Université de Montréal, C.P. 6128, Succ. Centre-Ville, Montréal, Canada
                [2 ]Center for Science and Technology Studies, Leiden University, Wassenaarseweg, Leiden, The Netherlands
                [3 ]Observatoire des Sciences et des Technologies (OST), Centre Interuniversitaire de Recherche sur la Science et la Technologie (CIRST), Université du Québec à Montréal, CP 8888, Succ. Centre-Ville, Montréal, Canada
                Katholieke Universiteit Leuven, BELGIUM
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: SH RC VL. Performed the experiments: SH RC. Analyzed the data: SH RC. Contributed reagents/materials/analysis tools: SH RC VL. Wrote the paper: SH RC VL.

                Article
                PONE-D-14-48905
                10.1371/journal.pone.0120495
                4363625
                25780916
                8684ba80-26b7-43a0-8216-20b70eebca7d
                Copyright @ 2015

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

                History
                : 30 October 2014
                : 2 January 2015
                Page count
                Figures: 5, Tables: 3, Pages: 21
                Funding
                This work was supported by the Alfred P. Sloan Foundation Grant # G-2014-3-25. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Custom metadata
                Data are available through Figshare ( http://dx.doi.org/10.6084/m9.figshare.1298151).

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                Uncategorized

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