Epistemic community formation: a bibliometric study of recurring authors in medical journals
Jeppe Nicolaisen () and
Tove Faber Frandsen ()
Additional contact information
Jeppe Nicolaisen: University of Copenhagen
Tove Faber Frandsen: University of Southern Denmark
Scientometrics, 2022, vol. 127, issue 7, No 21, 4167-4189
Abstract:
Abstract Using a selection of general science journals, general medical journals and specialized medical journals, this paper analyses four indicators of epistemic community formation: Synchronous, diachronous, immediate, and continuants. The analyses show that the specialized medical journals display higher levels of epistemic community formation as measured by the percentage of recurring authors. There are only slight differences in the results across analyses of the four indicators. Yet, the analyses of each indicator illustrate different levels of variance. The results further indicate that the level of epistemic community formation, as measured by the percentage of recurring authors, is closely tied to specialization, and could therefore also be considered as yet another indicator of specialization.
Keywords: Indicators; Journals; Recurring authors; Specialization (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s11192-022-04409-3 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:127:y:2022:i:7:d:10.1007_s11192-022-04409-3
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192
DOI: 10.1007/s11192-022-04409-3
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 ().