2014/11/25 by Xianwen Wang, Zhichao Fang, Wang, Xianwen +3
Arts and Humanities · Biochemistry, Genetics and Molecular Biology · Decision Sciences · #Academic Writing and Publishing #Biomedical Text Mining and Ontologies #Digital Libraries (cs.DL) #FOS: Computer and information sciences #FOS: Physical sciences #Physics and Society (physics.soc-ph) #scientometrics and bibliometrics research
paper · pdf · doi:10.48550/arxiv.1411.7004
openalex publication_date 2014/11/25 · openalex created_date 2016/06/24 · openalex updated_date 2026/07/28
It is time to make changes to the current research evaluation system, which is built on the journal selection. In this study, we propose the idea of continuous, dynamic and comprehensive article-level-evaluation based on article-level-metrics. Different kinds of metrics are integrated into a comprehensive indicator, which could quantify both the academic and societal impact of the article. At different phases after the publication, the weights of different metrics are dynamically adjusted to mediate the long term and short term impact of the paper. Using the sample data, we make empirical study of the article-level-evaluation method.