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dc.contributor.authorDidegah, Fereshteh
dc.contributor.authorThelwall, Mike
dc.date.accessioned2018-07-23T12:22:01Z
dc.date.available2018-07-23T12:22:01Z
dc.date.issued2018-05-14
dc.identifier.citationDidegah, F., & Thelwall, M. (2018). Co-saved, co-tweeted, and co-cited networks.Journal of the Association for Information Science and Technology, 69 (8), pp 959-973.en
dc.identifier.issn2330-1635en
dc.identifier.doi10.1002/asi.24028
dc.identifier.urihttp://hdl.handle.net/2436/621518
dc.descriptionThis is an accepted manuscript of an article published by Wiley-Blackwell in Journal of the Association for Information Science and Technology on 14/05/2018, available online: https://doi.org/10.1002/asi.24028 The accepted version of the publication may differ from the final published version.
dc.description.abstractCounts of tweets and Mendeley user libraries have been proposed as altmetric alternatives to citation counts for the impact assessment of articles. Although both have been investigated to discover whether they correlate with article citations, it is not known whether users tend to tweet or save (in Mendeley) the same kinds of articles that they cite. In response, this article compares pairs of articles that are tweeted, saved to a Mendeley library, or cited by the same user, but possibly a different user for each source. The study analyzes 1,131,318 articles published in 2012, with minimum tweeted (10), saved to Mendeley (100), and cited (10) thresholds. The results show surprisingly minor overall overlaps between the three phenomena. The importance of journals for Twitter and the presence of many bots at different levels of activity suggest that this site has little value for impact altmetrics. The moderate differences between patterns of saving and citation suggest that Mendeley can be used for some types of impact assessments, but sensitivity is needed for underlying differences.en
dc.formatapplication/PDFen
dc.language.isoenen
dc.publisherWiley-Blackwellen
dc.relation.urlhttp://doi.wiley.com/10.1002/asi.24028en
dc.rightsArchived with thanks to Journal of the Association for Information Science and Technologyen
dc.subjectTwitteren
dc.subjectMendeleyen
dc.subjectcitationen
dc.subjectco-citationen
dc.subjectscientometricsen
dc.titleCo-saved, co-tweeted, and co-cited networksen
dc.typeJournal article
dc.identifier.journalJournal of the Association for Information Science and Technologyen
dc.contributor.institutionDanish Centre for Studies in Research & Research Policy, Department of Political Science & Government; Aarhus University; Aarhus Denmark
dc.contributor.institutionStatistical Cybermetrics Research Group, University of Wolverhampton, Wulfruna Street; Wolverhampton WV1 1LY UK
dc.date.accepted2018-02-13
rioxxterms.funderUniversity of Wolverhamptonen
rioxxterms.identifier.projectUOW120718MTen
rioxxterms.versionAMen
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en
rioxxterms.licenseref.startdate2018-07-12en
dc.source.volume69
dc.source.issue8
dc.source.beginpage959
dc.source.endpage973
refterms.dateFCD2018-07-23T12:22:01Z
refterms.versionFCDAM
refterms.dateFOA2018-07-23T12:22:01Z


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Archived with thanks to Journal of the Association for Information Science and Technology
Except where otherwise noted, this item's license is described as Archived with thanks to Journal of the Association for Information Science and Technology