Skewness of citation impact data and covariates of citation distributions: A large-scale empirical analysis based on Web of Science data
作者：
Highlights：
• We analyze factors influencing citation impact, e.g., the impact factor of the publishing journal, the number of co-authors.
• All articles (n = 2,961,789) covered by WoS in 1990 (n = 637,301), 2000 (n = 919,485), and 2010 (n = 1,405,003) are used.
• In 2010, nearly half of the citation impact is accounted for by the 10% most-frequently cited papers.
• The comparison of the correlations between FICs and citation impact shows that the JIF has indeed the largest correlation.
• Correlation between FICs and citation impact is reduced, if citations are normalized instead of using raw citation counts.
摘要
•We analyze factors influencing citation impact, e.g., the impact factor of the publishing journal, the number of co-authors.•All articles (n = 2,961,789) covered by WoS in 1990 (n = 637,301), 2000 (n = 919,485), and 2010 (n = 1,405,003) are used.•In 2010, nearly half of the citation impact is accounted for by the 10% most-frequently cited papers.•The comparison of the correlations between FICs and citation impact shows that the JIF has indeed the largest correlation.•Correlation between FICs and citation impact is reduced, if citations are normalized instead of using raw citation counts.
论文关键词：Citation impact,Factors influencing citations,Percentile shares,Impact factors,Normalization
论文评审过程：Received 2 November 2016, Revised 28 November 2016, Accepted 1 December 2016, Available online 23 December 2016, Version of Record 23 December 2016.
论文官网地址：https://doi.org/10.1016/j.joi.2016.12.001
