基于相对引用方法的微信提及指标标准化研究OACHSSCDCSSCI

The standardization of altmetrics indicators is a crucial requirement for their application in sci-entific evaluation.This study targets the construction of a Chinese indigenous knowledge system,which focu-ses on WeChat mention data from Chinese academic papers.We used standardization methods based on rel-ative citation methods and incorporated the WeChat Communication Index to establish standardized metrics for WeChat mentions.This research aims to provide relevant references and foundations for the develop-ment,deepening,and application of Chinese altmetrics data sources.Key findings include:(1)By elimina-ting time differences,disciplinary variations,high sparsity,and skewed distributions in WeChat mention metrics,the standardized indicators for WeChat mentions can be considered for application in academic e-valuation and social impact assessment.(2)Within the WI(WeChat Index)journal set,philosophy and hu-manities,engineering Ⅱ,and agricultural engineering are the top three disciplines with the highest number of WeChat mentions of academic papers.(3)WPP/FWSm and MNWS,metrics based on WeChat mention fre-quency,show minimal differences.These two indexes are suitable for evaluating WeChat attention at the level of individual papers and journals but are unsuitable for evaluating universities due to their influence by the distribution characteristics of WeChat mentions.(4)Standardized metrics,WCPP/FWSm and MNWC,incorporating WeChat influence indices,show a better balance between WeChat influence and mention vol-ume.They demonstrate robustness and prove valuable for assessing WeChat attention at the individual pa-per,journal,and university levels.They are more effective in assessing the WeChat attention and the dis-semination impact of academic papers in universities.