2016
DOI: 10.48550/arxiv.1608.08112
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Scholarly use of social media and altmetrics: a review of the literature

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Cited by 3 publications
(7 citation statements)
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“…Recently, the state-of-the-art on the usage of social media and altmetrics in academia was analysed in an extensive literature review (Sugimoto, Work, Larivière & Haustein, 2016). The findings show that several large-scale surveys report a high usage of social media platforms (up to 75% to 80% of researchers).…”
Section: Related Workmentioning
confidence: 99%
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“…Recently, the state-of-the-art on the usage of social media and altmetrics in academia was analysed in an extensive literature review (Sugimoto, Work, Larivière & Haustein, 2016). The findings show that several large-scale surveys report a high usage of social media platforms (up to 75% to 80% of researchers).…”
Section: Related Workmentioning
confidence: 99%
“…As such, the interest and popularity of social media in academia has been growing, with several studies already measuring the usage of social media and altmetrics in academia (Sugimoto, Work, Larivière & Haustein, 2016). It has even been suggested that social media may eventually play a role in academic tenure and promotion (Gruzd, Staves & Wilk, 2011).…”
Section: Introductionmentioning
confidence: 99%
“…First, the demand for a research evaluation framework which conceives science as an activity with multiple dimensions and impacts, in particular the increasing interest on measures for assessing societal impact. Second, the technological transformations in science communication in recent years, which are interpreted as a second wave on the digitisation of scholarly communication (Sugimoto et al 2016). Third, the 'open science' movement which calls for more accessible and transparent research practicesincluding the dissemination of research findings with research data and methods (Moed, 2015).…”
Section: Altmetrics As Indicators For Research Evaluationmentioning
confidence: 99%
“…These claims are highly disputed due to both conceptual and technical reasons. Technical issues include discrepancies in results depending on data sources (Zahedi, Fenner & Costas, 2014), difficulties of linking social media discussions with scientific papers (Robinson-García et al 2014), the heterogeneity of social media platforms used, and the easy gaming of the metrics (Robinson-Garcia et al, forthcoming;Sugimoto et al 2016). Conceptually, social media platforms are built on the premise that the more they are used, the better, since their aim is to facilitate sharing and linking to contents in an automatic way.…”
Section: Altmetrics As Indicators For Research Evaluationmentioning
confidence: 99%
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