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.
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References
Askeridis, J. M. (2018). An h index for Mendeley: Comparison of citation-based h indices and a readership-based hmen index for 29 authors. Scientometrics, 117(1), 615–624. https://doi.org/10.1007/s11192-018-2882-8
Bar-Ilan, J. (2012). JASIST 2001–2010. Bulletin of the American Society for Information Science and Technology, 38(6), 24–28. https://doi.org/10.1002/bult.2012.1720380607
Blecic, D. D. (1999). Measurements of journal use: An analysis of the correlations between three methods. Bulletin of the Medical Library Association, 87(1), 20–25.
Bornmann, L. (2014). Do altmetrics point to the broader impact of research? An overview of benefits and disadvantages of altmetrics. Journal of Informetrics, 8(4), 895–903. https://doi.org/10.1016/j.joi.2014.09.005
Bornmann, L. (2015). Alternative metrics in scientometrics: A meta-analysis of research into three altmetrics. Scientometrics, 103(3), 1123–1144. https://doi.org/10.1007/s11192-015-1565-y
Borrego, A., & Fry, J. (2012). Measuring researchers’ use of scholarly information through social book- marking data: A case study of BibSonomy. Journal of Information Science, 38(3), 297–308.
Costas, R., Zahedi, Z., & Wouters, P. (2015). The thematic orientation of publications mentioned on social media. Aslib Journal of Information Management, 67(3), 260–288. https://doi.org/10.1108/AJIM-12-2014-0173
D’Angelo, C. A., & Di Russo, S. (2019). Testing for universality of Mendeley readership distributions. Journal of Informetrics, 13(2), 726–737. https://doi.org/10.1016/j.joi.2019.03.011
Haustein, S., & Larivière, V. (2014). Mendeley as a source of readership by students and postdocs ? Evaluating article usage by academic status.
Journals, L. I. S. (2014). When are readership counts as useful as citation counts ?
Lee, H.-Y. (2015). Contribution of journals to academic disciplines. Journal of Information Science Theory and Practice, 3, 66–76.
Lowry, P. B., Romans, D., & Curtis, A. (2004). Global journal prestige and supporting disciplines: A scientometric study of information systems journals. Journal of the Association of Information Systems, 5, 29–77.
Maflahi, N., & Thelwall, M. (2015). When are readership counts as useful as citation counts? Scopus versus Mendeley for LIS Journals.,. https://doi.org/10.1002/asi
Mohammadi, E., & Thelwall, M. (2014). Mendeley readership altmetrics for the social sciences and humanities: Research evaluation and knowledge flows. Journal of the Association for Information Science and Technology, 65(8), 1627–1638. https://doi.org/10.1002/asi.23071
Nath, A., Jana, S., & Kerketta, S. (2020). Who reads PLOS research articles? Extensive analysis of the Mendeley readership categories of PLOS journals. Journal of Scientometric Research, 9(3), 245–252. https://doi.org/10.5530/JSCIRES.9.3.32
Niu, X., Hemminger, B. M., Lown, C., Adams, S., Brown, C., Level, A., & Cataldo, T. (2010). National study of information seeking behavior of academic researchers in the United States. Journal of the American Society for Information Science and Technology, 61(5), 869–890.
Parabhoi, L., Verma, M. K., & Nivas, R. (2019). Mendeley readership counts: An investigation of DESIDOC. Journal of Library & Information Technology. 1–8.
Parvez, A. (2011). Development in Library services with the advent of ICT. International Journal of Digital Library Services, 1–9.
Pooladian, A., & Borrego, Á. (2017). Twenty years of readership of library and information science literature under Mendeley’s microscope. Performance Measurement and Metrics, 18(1), 67–77. https://doi.org/10.1108/PMM-02-2016-0006
Punchihewa, C. (2018). How do Sri Lankan University libraries employ web 2.0 tools in providing web-based library services?: A comparative study. Journal of the University Librarians Association of Sri Lanka, 21(1), 18–39.
Ravikumar, D., & Dohtdong, M. B. (2018). Readership count and its association with citation: A case study of Mendeley reference manager software. Library Philosophy and Practice, 1.
Ravikumar, S. (2018). Study on most prolific authors’ and their association with citation. Journal of Scientometric Research, 6(3), 171–175. https://doi.org/10.5530/jscires.6.3.24
Riahinia, N., Rahimi, F., Jahangiri, M., Mirhaghjoo, S., & Alinezhad, F. (2018). Traditional citation indexes and alternative metrics of readership. International Journal of Information Science and Management (IJISM); Vol 16, No 2 (2018). https://ijism.ricest.ac.ir/index.php/ijism/article/view/1270/345
Robinson-García, N., Torres-Salinas, D., Zahedi, Z., & Costas, R. (2014). New data, new possibilities: Exploring the insides of altmetric.com. El Professional De La Información, 23(4), 359–366. https://doi.org/10.3145/epi.2014.jul.03
Roemer, R. C., & Borchardt, R. (2015). Issues, controversies, and opportunities for altmetrics. Library Technology Reports, 51(5), 20–30.
Savithry, T. K. (2014). Mendeley: a friend, guide and evaluator of the researcher. Proceedings of UGC Sponsored National Seminar on Academic Plagiarism and Bibliographic Reference Management Software. , 71–75.
Schlögl, C., Gorraiz, J., Gumpenberger, C., Jack, K., & Kraker, P. (2014). Comparison of downloads, citations and readership data for two information systems journals. Scientometrics, 101(2), 1113–1128. https://doi.org/10.1007/s11192-014-1365-9
Syamili, C., & Rekha, R. V. (2017). Do altmetric correlate with citation? : A study based on PLOS ONE journal. COLLNET Journal of Scientometrics and Information Management, 11(1), 103–117. https://doi.org/10.1080/09737766.2016.1260815
Tenopir, C., Volentine, R., & King, D. W. (2012). Article and book reading patterns of scholars: Findings for publishers. Learned Publishing, 25(4), 279–291.
Thelwall, M. (2017). Are Mendeley reader counts useful impact indicators in all fields ? Scientometrics, Merton,. https://doi.org/10.1007/s11192-017-2557-x
Thelwall, M. (2018). Early Mendeley readers correlate with later citation counts. Scientometrics, 115(3), 1231–1240. https://doi.org/10.1007/s11192-018-2715-9
Thelwall, M., Haustein, S., & Larivie`re, V., & Sugimoto, C. (2013). Do altmetrics work? Twitter and ten other candidates. PLoS ONE. https://doi.org/10.1371/journal.pone.0064841
Thelwall, M., & Sud, P. (2016). Mendeley readership counts: An investigation of temporal and disciplinary differences. Journal of the Association for Information Science and Technology, 67(12), 3036–3050. https://doi.org/10.1002/asi.23559
Thelwall, M., & Wilson, P. (2016). Mendeley readership altmetrics for medical articles: An analysis of 45 fields. Journal of the Association for Information Science and Technology, 67(8), 1962–1972. https://doi.org/10.1002/asi.23501
Thyer, B. A. (2008). The importance of journal articles. In B. A. Thyer (Ed.), Preparing research articles. Oxford University Press.
Van Noorden, R. (2014). Scientists and the social networks. Nature, 512(7513), 126–130.
Williams, A. E. (2017). Altmetrics: An overview and evaluation. Online Information Review, 41(3), 311–317. https://doi.org/10.1108/OIR-10-2016-0294
Zahedi, Z., Costas, R., & Wouters, P. (2014). Assessing the impact of publications saved by Mendeley users: Is there any different pattern among users? viewcontent.cgi. Proceedings of the IATUL Conferences, Paper 4. http://docs.lib.purdue.edu/iatul/2014/altmetrics/4
Zahedi, Z., Costas, R., & Wouters, P. (2017). Mendeley readership as a filtering tool to identify highly cited publications. Journal of the Association for Information Science and Technology, 68(10), 2511–2521. https://doi.org/10.1002/asi.23883
Zahedi, Z., & Haustein, S. (2018). On the relationships between bibliographic characteristics of scientific documents and citation and Mendeley readership counts: A large-scale analysis of Web of Science publications. Journal of Informetrics, 12(1), 191–202. https://doi.org/10.1016/j.joi.2017.12.005
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It is to certify that the authors have no affiliations with or involvement in any organization or entity with any financial or non-financial interest in the subject matter or materials discussed in this manuscript. The authors received no financial support for the research, authorship, and/or publication of this article. The article is the authors' original work and hasn't received prior publication.
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SR performed conceptualization, data analysis and editing. BBB performed data collection, writing-original draft. MNR performed writing- review, visualization and editing.
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Ravikumar, S., Boruah, B.B. & Ravikumar, M.N. Correlation study between citation count and Mendeley readership of the articles of Sri Lankan authors. Scientometrics 127, 4873–4885 (2022). https://doi.org/10.1007/s11192-022-04470-y
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DOI: https://doi.org/10.1007/s11192-022-04470-y