Relating popularity on Twitter and Linkedin to bibliometric indicators of visibility and interconnectedness: an analysis of 8512 applied researchers in Germany

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dc.identifier.uri http://dx.doi.org/10.15488/15379
dc.identifier.uri https://www.repo.uni-hannover.de/handle/123456789/15499
dc.contributor.author Howoldt, David
dc.contributor.author Kroll, Henning
dc.contributor.author Neuhäusler, Peter
dc.date.accessioned 2023-11-21T05:43:45Z
dc.date.available 2023-11-21T05:43:45Z
dc.date.issued 2023
dc.identifier.citation Howoldt, D.; Kroll, H.; Neuhäusler, P.: Relating popularity on Twitter and Linkedin to bibliometric indicators of visibility and interconnectedness: an analysis of 8512 applied researchers in Germany. In: Scientometrics 128 (2023), Nr. 10, S. 5571-5594. DOI: https://doi.org/10.1007/s11192-023-04799-y
dc.description.abstract We analyse the degree to which the popularity of scientific authors on Twitter and LinkedIn corresponds to publication-based indicators as to their visibility and interconnectedness. Departing from the extant literature’s focus on the visibility of individual papers, we turn to the popularity of individuals on social media platforms. We explore whether this popularity is reflected in the visibility that researchers achieve and the collaborations they maintain in the publication domain. Studying a large sample of applied researchers in Germany, we find congruence between researchers’ popularity on social media, and both their visibility and interconnectedness in the publication domain. Comparing the effects of Twitter and LinkedIn engagement, we furthermore find that the characteristics of this relationship are associated with the intended function of the social media platform in which researchers engage. We conclude that social media platforms are a relevant channel of academic communication, alongside existing channels of formal and informal exchange. eng
dc.language.iso eng
dc.publisher Dordrecht [u.a.] : Springer Science + Business Media B.V.
dc.relation.ispartofseries Scientometrics 128 (2023), Nr. 10
dc.rights CC BY 4.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by/4.0
dc.subject Altmetrics eng
dc.subject Citation impact eng
dc.subject LinkedIn eng
dc.subject Research dissemination eng
dc.subject Twitter eng
dc.subject.ddc 050 | Zeitschriften, fortlaufende Sammelwerke
dc.subject.ddc 370 | Erziehung, Schul- und Bildungswesen
dc.title Relating popularity on Twitter and Linkedin to bibliometric indicators of visibility and interconnectedness: an analysis of 8512 applied researchers in Germany eng
dc.type Article
dc.type Text
dc.relation.essn 1588-2861
dc.relation.issn 0138-9130
dc.relation.doi https://doi.org/10.1007/s11192-023-04799-y
dc.bibliographicCitation.issue 10
dc.bibliographicCitation.volume 128
dc.bibliographicCitation.firstPage 5571
dc.bibliographicCitation.lastPage 5594
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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