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Article Type

Full-Length Paper

Publication Date

2021-05-13

DOI

10.7191/jeslib.2021.1194

Abstract

Objectives:

  • Replicate methods from a 2019 study of Earth Science researcher citation practices.
  • Calculate programmatically whether researchers in Earth Science rely on a smaller subset of literature than estimated by the 80/20 rule.
  • Determine whether these reproducible citation analysis methods can be used to analyze open access uptake.

Methods: Replicated methods of a prior citation study provide an updated transparent, reproducible citation analysis protocol that can be replicated with Jupyter Notebooks.

Results: This study replicated the prior citation study’s conclusions, and also adapted the author’s methods to analyze the citation practices of Earth Scientists at four institutions. We found that 80% of the citations could be accounted for by only 7.88% of journals, a key metric to help identify a core collection of titles in this discipline. We then demonstrated programmatically that 36% of these cited references were available as open access.

Conclusions: Jupyter Notebooks are a viable platform for disseminating replicable processes for citation analysis. A completely open methodology is emerging and we consider this a step forward. Adherence to the 80/20 rule aligned with institutional research output, but citation preferences are evident. Reproducible citation analysis methods may be used to analyze open access uptake, however, results are inconclusive. It is difficult to determine whether an article was open access at the time of citation, or became open access after an embargo.

Keywords

Reproducibility, Citation Analysis, Jupyter Notebooks, Geosciences, Earth Sciences, Open Science, Bibliometrics

Data Availability

Data and code are available at the following GitHub repository and will be preserved on Zenodo upon publication: https://github.com/samteplitzky/Earth-Science-Citation-Replication-Project

Acknowledgments

The authors contributed to this project in the following roles: ST: Conceptualization, Data Curation, Methodology, Writing, Validation, Visualization, Project Management. WT: Conceptualization, Investigation, Validation, Writing. MW: Conceptualization, Writing, Validation. PW: Conceptualization, Methodology, Software, Visualization, Data Curation, Writing.

Corresponding Author

Samantha Teplitzky, UC Berkeley, Earth Sciences and Map Library, 50 McCone Hall, Berkeley, CA 94720-6000; steplitz@berkeley.edu

Rights and Permissions

© 2021 Teplitzky et al. This is an open access article licensed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike License.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 4.0 License.

Appendices_1194.pdf (898 kB)
Appendices 1, 2 & 3

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