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“影响因子百分位”指标的特点研究
引用本文:俞立平.“影响因子百分位”指标的特点研究[J].图书情报工作,2016,60(10):103-107.
作者姓名:俞立平
作者单位:宁波大学商学院城市经济研究中心 宁波 315211
基金项目:本文系浙江省软科学重点课题"浙江省创新驱动发展的关键问题、影响因素与评估体系研究"(项目编号:2015C25024)研究成果之一。
摘    要:目的/意义] 分析JCR最新公布的"影响因子百分位"指标的特点以及其对期刊评价的影响。方法/过程] 从影响因子百分位的内涵分析入手,比较其与影响因子的统计学特征,在因子分析的基础上,采用多元回归和分位数回归研究影响因子百分位与其他文献计量指标之间的关系,同时采用Spearman相关系数分析其与其他文献计量指标的关系。结果/结论] 研究结果表明,影响因子百分位改变了影响因子的统计学特征;影响因子较低的一些期刊,转换成影响因子百分位后相对值更低,其他期刊转换成影响因子百分位后相对值更高;影响因子百分位与其他文献计量指标相关程度中等;当影响因子百分位较低时,影响因子相关指标的弹性系数较高,当影响因子百分位处于中等时,总量指标及特征因子指标的回归系数较低;影响因子百分位并不适宜作为其中一个指标用于期刊多属性评价。

关 键 词:影响因子百分位  影响因子  分位数回归  
收稿时间:2016-03-21

Study on Characteristic of ‘Journal Impact Factor Percentile’ Indicator
Yu Liping.Study on Characteristic of ‘Journal Impact Factor Percentile’ Indicator[J].Library and Information Service,2016,60(10):103-107.
Authors:Yu Liping
Institution:Research Centre of Urban Economy, Business School of Ningbo University, Ningbo 315211
Abstract:Purpose/significance] This paper aims to analyze the characteristic of journal impact factor percentile indicator issued by JCR and its impact on journals.Method/process] Starting with analysis on implication of journal impact factor percentile, this paper compares the statistical characteristic between it and journal impact factor. On the basis of factor analysis, it studies the relationship between journal impact factor percentile and other bibliometric indicators with multiple regression and quantile regression, and related coefficient of Spearman respectly.Result/conclusion] The results show that:Journal impact factor percentile has changed the statistical characteristic of journal impact factor; Journals with low impact factor have lower relative values when converting into impact factor percentile, yet other journals have comparatively higher relative values; It has medium correlation between impact factor percentile and other bibliometric indicators; When the percentile of journal impact factor is low, the regression coefficient of its index is high, while the percentile is medium, the regression coefficient of aggregate indicator and eigenfactor indicator is low; Journal impact factor percentile is not an appropriate indicator to be used in multi-attribute evaluation of journals.
Keywords:journal impact factor percentile  journal impact factor  quantile regression  
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