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

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 <a href="https://doi.org/10.13012/B2IDB-6810203_V1">https://doi.org/10.13012/B2IDB-6810203_V1</a>.

本数据集的加工与皮尔逊相关分析脚本旨在支持一项研究，该研究探讨了在伊利诺伊大学厄巴纳-香槟分校（UIUC）图书馆涵盖12,200种期刊和六个学科子集的全学科期刊集合中，本地期刊作者身份、本地及外部引用次数、全文下载量、链接解析点击次数以及四个全球期刊影响因子指数之间的相关关系。研究表明，在全学科集合以及大多数学科子集中均存在显著的相关性。为此，特创建了特殊的处理脚本和网站仪表盘，包括用于从关系型数据库中读取值并展示表格结果的皮尔逊相关分析脚本。本次分析所使用的原始数据以多列关系型数据库表的形式提供，具体可访问<a href="https://doi.org/10.13012/B2IDB-6810203_V1">https://doi.org/10.13012/B2IDB-6810203_V1</a>。