摘要：

目的 改进现有百分位数指标在揭示期刊载文量特征方面的不足,构建基于被引频次与载文量双重分布的期刊评价指标PRC。方法 以2016版《期刊引证报告》生物学学科的85种期刊为研究样本,通过二八定律筛选核心论文样本集,利用布拉德福区域分析法设计基于文献密度分布的载文量权重,利用百分位数建立基于被引频次分布的引文指标,构建期刊综合影响力评价指标PRC。比较PRC与其他文献计量指标的相关性,验证指标评价效果。结果 PRC不仅在一定程度上克服了影响因子的内在缺陷,也能合理揭示期刊的出版规模效应,很好地均衡了相对值和绝对值两类指标,改进了百分位数指标的评价效果。结论 PRC指标兼顾被引频次和载文量双重分布,从数量和质量两个维度衡量期刊影响力,可用于评价科技期刊的学术影响力。

关键词: 被引频次, 载文量, 核心论文, 百分位数, PRC指标

Abstract:

[Purposes] This paper aims to improve the defects of percentile indicators in revealing the characteristic of number of published papers, and introduce a new indicator, Percentile Rank C (PRC), which is based on double-distributions of citation frequencies and number of published papers.[Methods] We chose 85 biology journals indexed in JCR (2016 edition) as samples. The core papers in these journals were selected by the Pareto principle. The weight of number of published articles based on the literature density distribution was designed by Bradford’s law, and the indexes based on the citation frequency distribution were established by Percentile Rank 6. In aim to discuss the effects of PRC, we analyzed the correlations among PRC and other journal evaluation indicators.[Findings] The PRC indicator overcomes the intrinsic defects of impact factor, reasonably reveals the publication scale of journals, and fairly balances the evaluation effects between the relative value indicator and the absolute value indicator with an effect that improves the percentile indicators.[Conclusions] The PRC indicator takes the distribution of both number of published papers and citation frequencies into account, and journal influence can be measured by two dimensions of quantity and quality. It is a new indicator that can be used to evaluate the academic influence of scientific journals.

Key words: Citation frequency, Number of published paper, Core paper, Percentile Indicator, Percentile Rank C