"Introducing Reproducibility to Citation Analysis" by Samantha Teplitzky, Wynn Tranfield et al.

peter.suber's bookmarks 2021-07-30

Summary:

Abstract:  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.

Link:

https://escholarship.umassmed.edu/jeslib/vol10/iss2/6/

From feeds:

[IOI] Open Infrastructure Tracking Project » Items tagged with oa.jupyter in Open Access Tracking Project (OATP)
Open Access Tracking Project (OATP) » peter.suber's bookmarks

Tags:

oa.reproducibility oa.notebooks oa.new oa.jupyter oa.geo oa.citations oa.analytics

Date tagged:

07/30/2021, 15:00

Date published:

07/30/2021, 11:00