基于R语言Jamovi的学术评价指标相关性分析——以中美ESI高被引论文为例

Correlation Analysis of Academic Evaluation Indicators Based on R Language Jamovi——Taking ESI Highly Cited Papers in China and the United States as Examples

文章选取2014-2020年ESI数据库中的中美高被引论文为研究对象,运用R语言中的Jamovi程序进行相关性分析、主成分分析,对比分析Usage Count、Altmetrics及引用量指标之间的关系,得到不同指标间的相关性和差异性,评估各指标对学术评价的影响,探索更合理的学术评价方法,为建立更丰富、全面、客观的学术评价体系提供理论和数据支持。

This paper takes highly cited papers in China and the United States from 2014 to 2020 in ESI database as examples, and uses R language based Jamovi program to make correlation analysis, principal component analysis and other methods to compare the relationship between Usage Count, Altmetrics and highly cited indicators, it obtains the correlation and difference between different indicators, finds a reasonable way to comprehensively evaluate the academic evaluation, enriches the academic evaluation system, provides a more comprehensive academic evaluation method, and provides theoretical support for further improving the level of scientific research.