Study on Correlation of Evaluation Indexes of Multi-source Data for Highly Cited Papers from Medical Universities
10.3969/j.issn.1673-6036.2024.05.007
- VernacularTitle:医学院校高被引论文多源数据评价指标相关性研究
- Author:
Yuting LIU
1
;
Junmin ZHANG
Author Information
1. 首都医科大学图书馆 北京 100069
- Keywords:
highly cited papers;
paper evaluation index;
correlation analysis;
multi-source data
- From:
Journal of Medical Informatics
2024;45(5):40-45
- CountryChina
- Language:Chinese
-
Abstract:
Purpose/Significance To understand the correlation of multi-source evaluation indicators for highly cited papers in medi-cal universities in different databases,and to provide references for the discovery,utilization and evaluation of literature resources.Meth-od/Process The paper takes the highly cited papers of Capital Medical University from 2013 to 2023 as the research object,analyzes 38 e-valuation indexes in H1 Connect,Dimensions,ESI,Web of Science,InCites and SciVal,and makes correlation analysis from representative indicators,patent and policy citation indicators,browse and use indicators,relative indicators,journal indicators,cited frequency and Alt-metric indicators.Result/Conclusion It is found that the similar indicators in each group have relatively high correlation,individual indicators such as peer-reviewed weighted sum of stars and Weibo mentions have no significant correlation with most different platform indicators.
