Impact Factor Based on Logarithmic Correction for the Papers' Citations and the Studies on Its Category Normalization
Liu Xueli1, Guo Jia2, Shen Lan2, Wang Yan1, Sheng Lina1, Fang Hongling1, Li Jianhua1, Ding Jun1
1.Periodicals Publishing House/Henan Research Center for Science Journals, Xinxiang Medical University, Xinxiang 453003 2.Management Institute, Xinxiang Medical University, Xinxiang 453003
摘要本文以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(IFlog),以各期刊IFlog除以所在学科所有期刊IFlog平均值,进行学科标准化处理,创建学科标准化影响因子(cnIFlog),探讨cnIFlog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IFlog均呈正态分布,且无论同一学科还是不同学科期刊的IFlog1.5、IFln、IFlog5、IFlog10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,cnIFlog1.5(category normalization for IFlog1.5)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,cnIFlog1.5均是理想的评价指标。
刘雪立, 郭佳, 申蓝, 王燕, 盛丽娜, 方红玲, 李建华, 丁君. 基于被引频次对数矫正的影响因子及其学科标准化研究[J]. 情报学报, 2021, 40(2): 125-134.
Liu Xueli, Guo Jia, Shen Lan, Wang Yan, Sheng Lina, Fang Hongling, Li Jianhua, Ding Jun. Impact Factor Based on Logarithmic Correction for the Papers' Citations and the Studies on Its Category Normalization. 情报学报, 2021, 40(2): 125-134.
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