Social Media Metrics as Indicators of Repository Impact

dc.contributor.authorKim Holmberg
dc.contributor.authorStefanie Haustein
dc.contributor.authorDaniel Beucke
dc.contributor.organizationfi=koulutussosiologian tutkimuskeskus RUSE|en=Research Unit for the Sociology of Education (RUSE)|
dc.contributor.organization-code1.2.246.10.2458963.20.23782222568
dc.converis.publication-id2885310
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/2885310
dc.date.accessioned2022-10-27T11:58:21Z
dc.date.available2022-10-27T11:58:21Z
dc.description.abstract<p> The <em>altmetrics</em> movement has introduced user counts generated from social media platforms as crowdsourced filters of the relevance of scientific content and thus as broader and timelier measures of research impact than citations (Priem, Taraborelli, Groth &amp; Neylon, 2010). Various altmetrics, or social media metrics, might be useful for repositories to measure the visibility of their contents on social media and bookmarking platforms complementing download and citation metrics. This is particularly true for preprint repositories because activity on social media can keep up with the acceleration of the publication life cycle: opposed to citations, social media activity is visible in real time right after online availability. For example, tweets to scientific papers have been shown to peak shortly after online availability (Eysenbach, 2011; Shuai, Pepe &amp; Bollen, 2012; Haustein, Bowman, Costas, &amp; Larivi&egrave;re, in preparation). Thus, a significant share of Twitter activity is assumed to reference the preprint version in the repository rather than the published version in the journal of record (Haustein, Bowman, Macaluso, Sugimoto &amp; Larivi&egrave;re, 2014). Hence, repositories may be in an especially advantageous position to use altmetrics, however, altmetrics are not widely provided by repositories yet. Studies from Germany, Austria and Switzerland have shown that out of 173 investigated repositories only one offered altmetrics as a value added service (Kindling &amp; Vierkant, 2014). This is likely to change as new tools and new services are being opened to help repositories integrate altmetrics. This chapter will provide an overview of various social media metrics and discuss possibilities and challenges in applying them in the context of online repositories.&nbsp;</p>
dc.identifier.eisbn978-1-61249-423-4
dc.identifier.isbn978-1-55753-726-3
dc.identifier.olddbid173210
dc.identifier.oldhandle10024/156304
dc.identifier.urihttps://www.utupub.fi/handle/11111/31211
dc.identifier.urlhttp://www.thepress.purdue.edu/titles/making-institutional-repositories-work
dc.identifier.urnURN:NBN:fi-fe2021042714883
dc.language.isoen
dc.okm.affiliatedauthorHolmberg, Kim
dc.okm.discipline113 Computer and information sciencesen_GB
dc.okm.discipline520 Other social sciencesen_GB
dc.okm.discipline113 Tietojenkäsittely ja informaatiotieteetfi_FI
dc.okm.discipline520 Muut yhteiskuntatieteetfi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA3 Book
dc.publisherPurdue University Press
dc.publisher.countryUnited Statesen_GB
dc.publisher.countryYhdysvallat (USA)fi_FI
dc.publisher.country-codeUS
dc.publisher.isbn978-1-932739
dc.source.identifierhttps://www.utupub.fi/handle/10024/156304
dc.titleSocial Media Metrics as Indicators of Repository Impact
dc.title.bookMaking Institutional Repositories Work
dc.year.issued2015

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