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

David Howoldt (), Henning Kroll () and Peter Neuhäusler ()
Additional contact information
David Howoldt: Independent Researcher
Henning Kroll: Fraunhofer Institute for Systems and Innovation Research
Peter Neuhäusler: Fraunhofer Institute for Systems and Innovation Research

Scientometrics, 2023, vol. 128, issue 10, No 9, 5594 pages

Abstract: 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.

Keywords: LinkedIn; Twitter; Research dissemination; Citation impact; Altmetrics (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11192-023-04799-y Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:128:y:2023:i:10:d:10.1007_s11192-023-04799-y

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192

DOI: 10.1007/s11192-023-04799-y

Access Statistics for this article

Scientometrics is currently edited by Wolfgang Glänzel

More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().