Which percentile-based approach should be preferred for calculating normalized citation impact values? An empirical comparison of five approaches including a newly developed citation-rank approach (P100)
作者：
Highlights：
• Percentile-based approaches have been proposed as a non-parametric alternative to parametric central-tendency statistics.
• A new citation rank approach, namely P100, is introduced.
• P100 satisfies the scaling of the citation ranks from 0 (all other papers perform better) to 100 (all other papers perform worse).
• P100 solves the problem with tied citation ranks unambiguously.
• We compare the reliability of P100 empirically with percentile-based approaches.
摘要
•Percentile-based approaches have been proposed as a non-parametric alternative to parametric central-tendency statistics.•A new citation rank approach, namely P100, is introduced.•P100 satisfies the scaling of the citation ranks from 0 (all other papers perform better) to 100 (all other papers perform worse).•P100 solves the problem with tied citation ranks unambiguously.•We compare the reliability of P100 empirically with percentile-based approaches.
论文关键词：Citation impact normalization,Percentile,Percentile rank class,P100,Citation rank
论文评审过程：Received 19 June 2013, Revised 17 September 2013, Accepted 17 September 2013, Available online 17 October 2013.
论文官网地址：https://doi.org/10.1016/j.joi.2013.09.003
