Correlation study between citation count and Mendeley readership of the articles of Sri Lankan authors

S. Ravikumar (), Bidyut Bikash Boruah () and M. N. Ravikumar ()
Additional contact information
S. Ravikumar: North-Eastern Hill University
Bidyut Bikash Boruah: North-Eastern Hill University
M. N. Ravikumar: Eastern University

Scientometrics, 2022, vol. 127, issue 8, No 26, 4873-4885

Abstract: Abstract In this paper, the correlation of the citation count and Mendeley readership score of the articles by the Sri Lankan authors was studied. The study presents how the correlation exists among different Web of Science (WoS) subject categories and in different Mendeley user categories. Nine thousand one hundred thirty articles of Sri Lankan authors are collected from the WoS database, with a minimum of 5 citation counts, and analyzed to trace their correlation with Mendeley readership from different aspects. Quantitative methods were applied in the study. A strong correlation exists between the citation count and Mendeley readership. 'Chemistry', 'Public, Environmental & Occupational Health' and 'Engineering' were observed as the highly indexed subjects in the category-wise analysis, though it does not affect the readership and citation. Subjects with a higher Mendeley readership score strongly correlate with a citation in different user categories, and articles with less than 200 readership scores mostly tend to show a negative correlation. Mendeley is more prevalent among researchers, Ph.D. students and master's students than in other user categories, and in all the user categories, correlation is more or less favourable.

Keywords: Scientometrics; Altmetrics; Readership statistics; Citation Count; Sri Lankan articles; Correlation study (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/s11192-022-04470-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:127:y:2022:i:8:d:10.1007_s11192-022-04470-y

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

DOI: 10.1007/s11192-022-04470-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 ().