Mapping Altmetrics: A Bibliometric Analysis Using Scopus (2012-2024)
Keywords:
Altmetrics; bibliometric analysis; Bibliometrix; Scopus; bibliometric; journal impact factor; multidimensional
Abstract
This study conducts a comprehensive bibliometric analysis of the altmetrics landscape from 2012 to 2024, aiming to explore key trends, influential contributors, and thematic concentrations in scholarly discourse. The Bibliometrix package in R made it easy to conduct a bibliometric study on altmetrics using data extracted from Scopus. This allowed for an in-depth examination of publication trends, influential authors, and thematic concentrations. VOSviewer was used to visualize bibliometric data, which gave information about co-authorship networks and thematic clustering in the altmetrics literature. The United States emerged as the foremost contributor in terms of publication frequency. Key words such as "bibliometrics," "social media," and "journal impact factor" were identified as central themes in the altmetrics discourse, reflecting the multidimensional nature of scholarly evaluation in the digital age
References
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Bornmann, L. (2015). Alternative metrics in scientometrics: A meta-analysis of research into three altmetrics. Scientometrics, 103(3), 1123-1144. https://doi.org/https://doi.org/10.1007/s11192-015-1565-y
Costas, R., Zahedi, Z., & Wouters, P. (2015). Do altmetrics correlate with citations? extensive comparison of altmetric indicators with citations from a multidisciplinary perspective. Journal of the Association for Information Science and Technology, 66(10), 2003-2019. https://doi.org/https://doi.org/10.1002/asi.23309
Haustein, S., Bowman, T., Holmberg, K., Tsou, A., & Larivière, V. (2016). Tweets as impact indicators: Examining the implications of automated “bot” accounts on Twitter . Journal of the Association for Information Science and Technology, 67(1), 232-238. https://doi.org/ https://doi.org/10.1002/asi.23456
Haustein, S. (2016). Grand challenges in altmetrics: Heterogeneity, data quality and dependencies . Scientometrics, 108(1), 413-423. https://doi.org/ https://doi.org/10.1007/s11192-016-1910-9
Hammarfelt, B. (2014). Using altmetrics for assessing research impact in the humanities. Scientometrics, 101(2), 1419-1430. https://doi.org/ https://doi.org/10.1007/s11192-014-1261-3
Haustein, S., Peters, L., Bar-Ilan, J., Priem, J., Shema, H., & Terliesner, J. (2014). Coverage and adoption of altmetrics sources in the bibliometric community. Scientometrics, 101(2), 1145-1163. https://doi.org/https://doi.org/10.1007/s11192-013-1221-3
Ortega, J. L. (2015). Relationship between altmetric and bibliometric indicators across academic social sites: The case of CSIC’s members. Journal of Informetrics, 9(1), 39-49. https://doi.org/https://doi.org/10.1016/j.joi.2014.11.004
Sud, P., & Thelwall, M. (2014). Evaluating altmetrics. Scientometrics, 98(2), 1131-1143. https://doi.org/ https://doi.org/10.1007/s11192-013-1117-2
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/ https://doi.org/10.1002/asi.23071
Holmberg, K., & Thelwall, M. (2014). Disciplinary differences in Twitter scholarly communication . Scientometrics, 101(2), 1027-1042. https://doi.org/ https://doi.org/10.1007/s11192-014-1229-3
Thelwall, M., Haustein, S., Larivière, V., & Sugimoto, C. R. (2013). Do Altmetrics Work? Twitter and Ten Other Social Web Services. PLoS ONE, 8(5). https://doi.org/ https://doi.org/10.1371/journal.pone.0064841
Schimanski, L. A., & Alperin, J. P. (2018). The evaluation of scholarship in academic promotion and tenure processes: Past, present, and future. F1000Research, 7(1). https://doi.org/https://doi.org/10.12688/f1000research.16493.1
Hou, J., Yang, X., & Chen, C. (2018). Emerging trends and new developments in information science: A document co-citation analysis (2009–2016) . Scientometrics, 115(2), 869-889. https://doi.org/ https://doi.org/10.1007/s11192-018-2695-9
Mohammadi, E., Thelwall, M., Haustein, S., & Larivière, V. (2015). Who reads research articles? An altmetrics analysis of Mendeley user categories. Journal of the Association for Information Science and Technology, 66(9), 1832-1846. https://doi.org/https://doi.org/10.1002/asi.23286
Priem, J., Taraborelli, D., Groth, P., & Neylon, C. (2011, 28). altmetrics: A manifesto. , http://altmetrics.org/manifesto
Priem, J., Groth, P., & Taraborelli, D. (2012). The Altmetrics Collection . PLoS ONE, 7(11). https://doi.org/ https://doi.org/10.1371/journal.pone.0048753
Zahedi, Z., Costas, R., & Wouters, P. (2014). How well developed are altmetrics? A cross disciplinary analysis of the presence of ‘alternative metrics’ in scientific publications . Scientometrics, 101(2), 1491-1513. https://doi.org/https://doi.org/10.1007/s11192-014-1264-0
Wang, X., Liu, C., Mao, W., & Fang, Z. (2015). The open access advantage considering citation, article usage and social media attention. Scientometrics, 103(2), 555-564. https://doi.org/https://doi.org/10.1007/s11192-015-1547-0
Published
2024-06-17
How to Cite
Guechairi , S. (2024). Mapping Altmetrics: A Bibliometric Analysis Using Scopus (2012-2024). Journal of Science and Knowledge Horizons, 4(01), 172-192. https://doi.org/10.34118/jskp.v4i01.3859
Section
Articles
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