Different manifestations of ‘context’: examples from a bibliometric study of research in Zimbabwe in Southern Africa
Similo Ngwenya () and
Nelius Boshoff ()
Additional contact information
Similo Ngwenya: Stellenbosch University
Nelius Boshoff: Stellenbosch University
Scientometrics, 2022, vol. 127, issue 7, No 10, 3933 pages
Abstract:
Abstract ‘Context’ refers to the environment in which a phenomenon exists or takes place, and which can help to understand the phenomenon. Aspects of context are present in all bibliometric studies, but little scientific attention has been paid to how context manifests in bibliometric studies. This article, which is reflective and illustrative, argues that aspects of context can be applied or constructed. Three types of context application and three types of context construction are illustrated. This is done with reference to a bibliometric study of research in Zimbabwe, which analysed an integrated dataset of Scopus and Web of Science articles. In the study on which this article is based, context was applied as a background narrative, as part of data categorisation, and in the interpretation of findings. Context was further constructed by data categorisation, using different units of bibliometric analysis, and combining the bibliometric method with a non-bibliometric method. A schematic diagram of the identified types is presented, for other scholars to expand on and to continue to highlight the different manifestations of context in bibliometric studies.
Keywords: Africa; Bibliometrics; Coding; Collaboration; Evaluation; Setting (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://link.springer.com/10.1007/s11192-022-04435-1 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_s11192-022-04435-1
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192
DOI: 10.1007/s11192-022-04435-1
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 ().