基于被引频次对数矫正的影响因子及其学科标准化研究

Impact Factor Based on Logarithmic Correction for the Papers’ Citations and the Studies on Its Category Normalization

本文以5个学科的SCI期刊和论文为研究对象,取不同底数的对数对每一学科论文被引频次进行转换,计算各期刊对数矫正影响因子(IF_(log)),以各期刊IF_(log)除以所在学科所有期刊IF_(log)平均值,进行学科标准化处理,创建学科标准化影响因子(cnIF_(log)),探讨cnIF_(log)在学术期刊跨学科评价中的优越性。研究结果显示,5个学科期刊的IF_(log)均呈正态分布,且无论同一学科还是不同学科期刊的IF_(log1.5)、IF_(ln)、IF_(log5)、IF_(log10)之间均呈100%正相关(r=1.000,P=0.000)。与影响因子(IF2018)、平均影响因子百分位(average impact factor percentile,aJIFP)、期刊PR8指数(journal index of eight percentile rank classes,JIPR8)、IFlog和相对影响因子(relative IF2018,rIF2018)等指标相比,cnIF_(log1.5)(category normalization for IF_(log1.5))在5个学科期刊中变异程度最小、与aJIFP和JIPR8的相关度最高,具有理想的区分度和稳定性。无论同一学科还是跨学科期刊评价,cnIF_(log1.5)均是理想的评价指标。

Taking SCI journals and papers from five disciplines as research objects,this study converts the citations of the papers into normal distribution using different base logarithms and calculates the logarithmic correction impact factor(IF(_log))of each journal.Category normalization for IFlog(cnIF(_log))is conducted by dividing the IF(_log) of each journal by the average value of IFlog of all journals in the field.The superiorities of cnIFlog in the evaluation of academic journals across different fields are also demonstrated through empirical research.The results showed that different base logarithms could convert the citations of the journal papers into an approximate normal distribution.The IFlog of the five field journals was normally distributed,and the IF-(log1.5),IFln,IFlog5,and IF_(log10) of the journals were 100%positively related(r=1.000,P=0.000)both in the same or different fields.Compared with the impact factor(IF2018),average impact factor percentile(aJIFP),journal index of eight percentile rank classes(JIPR8),IFlog and relative impact factor(rIF2018),and other indicators,cnIFlog1.5 exhibited the smallest variation among the five field journals.Moreover,compared with aJIFP and JIPR8,it had the highest correlation and exhibited ideal discrimination and stability.It is concluded that cnIFlog1.5 is an extremely ideal journal evaluation indicator for use in both the same or different fields.