Abstract
This poster aimed to identify the usefulness of altmetrics as a leading indicator for predicting bibliometrics. This study extracted common trends of bibliometrics and altmetrics using PCA and analyzed potential time gaps between them using cross-correlation analysis. For this job, this study focused on the field of social science, while employing the bibliometrics and altmetrics data from 495,652 papers out of a total of 42 topics published in the past 30 years (1993–2022). As a results of the analysis, the Captures, among the altmetrics indicators, preceded the number of papers, the number of Authors by 2 years and the Usage counts by 3 years, and the finding of the study suggests the captures can be used as a leading indicator of the number of articles, authors, and usages.
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References
Bornmann, L.: Alternative metrics in scientometrics: a meta-analysis of research into three altmetrics. Scientometrics 103(3), 1123–1144 (2015)
Bornmann, L., Haunschild, R.: Overlay maps based on mendeley data: the use of altmetrics for readership networks. J. Am. Soc. Inf. Sci. 67(12), 3064–3072 (2016)
Braun, T., Schubert, A.P., Kostoff, R.N.: Growth and trends of fullerene research as reflected in its journal literature. Chem. Rev. 100(1), 23–38 (2000)
Eysenbach, G.: Can tweets predict citations? Metrics of social impact based on Twitter and correlation with traditional metrics of scientific impact. J. Med. Internet Res. 13(4), e2012 (2011)
Fang, Z., Costas, R., Tian, W., Wang, X., Wouters, P.: An extensive analysis of the presence of altmetric data for Web of Science publications across subject fields and research topics. Scientometrics 124(3), 2519–2549 (2020)
Hammarfelt, B.: Using altmetrics for assessing research impact in the humanities. Scientometrics 101(2), 1419–1430 (2014)
Mohammadi, E., Thelwall, M.: Mendeley readership altmetrics for the social sciences and humanities: research evaluation and knowledge flows. J. Am. Soc. Inf. Sci. 65(8), 1627–1638 (2014)
Priem, J., Hemminger, B.H.: Scientometrics 2.0: new metrics of scholarly impact on the social web. First Monday (2010)
Priem, J., Groth, P., Taraborelli, D.: The altmetrics collection. PLoS ONE 7(11), e48753 (2012)
Shema, H., Bar-Ilan, J., Thelwall, M.: Do blog citations correlate with a higher number of future citations? Research blogs as a potential source for alternative metrics. J. Am. Soc. Inf. Sci. 65(5), 1018–1027 (2014)
Thelwall, M., Nevill, T.: Could scientists use altmetric.com scores to predict longer term citation counts? J. Inf. 12(1), 237–248 (2018)
Tu, Y.N., Seng, J.L.: Indices of novelty for emerging topic detection. Inf. Process. Manage. 48(2), 303–325 (2012)
Wooldridge, J., King, M.B.: Altmetric scores: an early indicator of research impact. J. Am. Soc. Inf. Sci. 70(3), 271–282 (2019)
Zahedi, Z., Costas, R., Wouters, P.: How well developed are altmetrics? A cross-disciplinary analysis of the presence of ‘alternative metrics’ in scientific publications. Scientometrics 101, 1491–1513 (2014)
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Koo, BJ., Chang, DH. (2025). Do “Altmetrics” Precede the Bibliometrics?. In: Oliver, G., Frings-Hessami, V., Du, J.T., Tezuka, T. (eds) Sustainability and Empowerment in the Context of Digital Libraries. ICADL 2024. Lecture Notes in Computer Science, vol 15494. Springer, Singapore. https://doi.org/10.1007/978-981-96-0868-3_7
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