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Predicting the Usage of Scientific Datasets Based on Article, Author, Institution, and Journal Bibliometrics

  • 2022
  • OriginalPaper
  • Chapter
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Abstract

The chapter delves into the relationship between dataset usage and bibliometric features of associated publications, such as references, author prestige, and journal ranking. It analyzes a substantial dataset from Figshare.com, employing advanced statistical models to predict dataset downloads. The findings suggest that lower-ranked journals and focused references predict higher dataset usage, contrary to expectations based on author or institutional prestige. This work highlights the importance of understanding these factors for optimizing the dissemination and storage of scientific datasets in the era of open science.

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Title
Predicting the Usage of Scientific Datasets Based on Article, Author, Institution, and Journal Bibliometrics
Authors
Daniel E. Acuna
Zijun Yi
Lizhen Liang
Han Zhuang
Copyright Year
2022
DOI
https://doi.org/10.1007/978-3-030-96957-8_5
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