Title
Continuous, Dynamic And Comprehensive Article-Level Evaluation Of Scientific Literature
Abstract
Current research assessment is built on the basis of core-journals-selection system. Journal evaluation is not equal to article evaluation, evaluating scientists, institutions and countries based on article-level evaluation is more reasonable than the current journal-based evaluation. Different from the current research evaluation tools and databases, e.g., ESI and Nature Index, in this study, we propose the idea of continuous, dynamic and comprehensive article-level-evaluation based on article-level-metrics data. Different kinds and sources of metrics are integrated into a comprehensive indicator, to quantify both the long-term academic and short term 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 collect the metrics data over two years for each sample article, and make empirical study of the article-level-evaluation method. The original data and interactive visualization of this research is available at http://xianwenwang.com/research/ale/.
Year
Venue
Field
2014
PROCEEDINGS OF ISSI 2015 ISTANBUL: 15TH INTERNATIONAL SOCIETY OF SCIENTOMETRICS AND INFORMETRICS CONFERENCE
Data science,Data mining,Scientific literature,Evaluation system,Computer science,Societal impact of nanotechnology,Empirical research,Management science
DocType
Volume
ISSN
Journal
abs/1411.7004
2175-1935
Citations 
PageRank 
References 
0
0.34
3
Authors
3
Name
Order
Citations
PageRank
Xianwen Wang122021.59
Zhichao Fang200.34
Yang Yang300.34