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Weighted Altmetric Scores to Facilitate Literature Analyses

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Linking Theory and Practice of Digital Libraries (TPDL 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13541))

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Abstract

With a rapidly increasing corpus of published papers, assessing their scientific impact has become increasingly challenging. Particularly, for analysts performing systematic literature analysis, such as a systematic literature review or systematic mapping study, the problem of manually assessing a large data set has now become quite evident. Thus, the research community is actively involved in developing techniques relying on different methods to determine impact of a paper with reduced manual effort, for example, using bibliometrics, and the more recently introduced, altmetrics. Therefore, in this work we extend the ongoing investigation and propose weighted altmetric scores for a more fair and reliable analysis of papers, eventually supporting the literature analysis process. Our findings show that weighted altmetrics perform well and achieve an accuracy of 69.81% considerably reducing the time and effort required for a manual literature analysis.

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Notes

  1. 1.

    http://www.plumanalytics.com/about.html.

  2. 2.

    https://www.scopus.com/sources.uri.

  3. 3.

    http://www.sciencedirect.com.

  4. 4.

    Complete dataset is available here: https://doi.org/10.5281/zenodo.6905592.

  5. 5.

    https://dev.elsevier.com/documentation/PlumXMetricsAPI.wadl.

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Acknowledgements

This research is funded by the German DFG-MatWerk, NFDI 38/1, project # 460247524 and supported by the Helmholtz Metadata Collaboration Platform & the German National Research Data Infrastructure.

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Correspondence to Yusra Shakeel .

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Shakeel, Y., Bharti, A., Leich, T., Saake, G. (2022). Weighted Altmetric Scores to Facilitate Literature Analyses. In: Silvello, G., et al. Linking Theory and Practice of Digital Libraries. TPDL 2022. Lecture Notes in Computer Science, vol 13541. Springer, Cham. https://doi.org/10.1007/978-3-031-16802-4_46

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  • DOI: https://doi.org/10.1007/978-3-031-16802-4_46

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-16801-7

  • Online ISBN: 978-3-031-16802-4

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