A Study on Weibo Mentions and Altmetrics-Based Evaluation of Chinese Academic Journal Articles
[Purpose/Significance]It is highly important to explore the mention behavior characteristics of Chinese academic journal articles on Chinese social media platforms,and construct more fine-grained Altmetrics integrated evaluation indicators to adapt to the Chinese academic ecological scenario.This will facilitate a compre-hensive and in-depth evaluation for Chinese academic journal articles.[Method/Process]Taking the academic jour-nal articles mentioned on Weibo as the research object,this paper used content analysis to explore the characteristics of Chinese social media users'mentioning behavior of academic journal articles from three dimensions:mentioning method,mentioning motivation,and mentioning sentiment.It constructed Altmetrics integrated evaluation indica-tors by combining these dimensions,determining the calculation weight of these indicators using analytic hierarchy process,and verifying the applicability of the integrated indicators through empirical research.[Result/Conclusion]Altmetrics data generated by mentions on Chinese social media platforms have high application value in evaluating the influence of Chinese academic papers.Evaluating these articles using multidimensional indicators that integrate mentioning method,mentioning sentiment,and mentioning motivation provides a more comprehensive and discrim-inating assessment,which can eliminate the one-sidedness of the pure social media mention frequency indicator to a certain extent.
Chinese academic ecologymention behaviorAltmetrics datacontent analysis comprehensiveevaluation indexWeibo
万方数据
维普
