Processing and Pearson Correlation Scripts for the C&RL Article on the Relationships between Publication, Citation, and Usage Metrics at the University of Illinois at Urbana-Champaign Library
Cite this dataset:
Mischo, William; Schlembach, Mary C. (2023): Processing and Pearson Correlation Scripts for the C&RL Article on the Relationships between Publication, Citation, and Usage Metrics at the University of Illinois at Urbana-Champaign Library . University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-0931140_V1
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Dataset Description

These processing and Pearson correlational scripts were developed to support the study that examined the correlational relationships between local journal authorship, local and external citation counts, full-text downloads, link-resolver clicks, and four global journal impact factor indices within an all-disciplines journal collection of 12,200 titles and six subject subsets at the University of Illinois at Urbana-Champaign (UIUC) Library. This study shows strong correlations in the all-disciplines set and most subject subsets. Special processing scripts and web site dashboards were created, including Pearson correlational analysis scripts for reading values from relational databases and displaying tabular results.

The raw data used in this analysis, in the form of relational database tables with multiple columns, is available at https://doi.org/10.13012/B2IDB-6810203_V1.

Subject Social Sciences
Keywords Pearson Correlation Analysis Scripts; Journal Publication; Citation and Usage Data; University of Illinois at Urbana-Champaign Scholarly Communication
License CC BY
Corresponding Creator Mary C. Schlembach
Downloaded 87 times
Version DOI Comment Publication Date
1 10.13012/B2IDB-0931140_V1 2023-01-12
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