基于数据正态化处理的期刊学术影响力研究

Study of sci-tech journals academic influence power based on normal distribution

科技期刊学术影响力评价的重要指标——总被引频次和影响因子都是以某一时间段期刊发表的单篇论文被引次数为基础数据进行测算的,由于基础数据的非正态分布性,必然造成测算结果失真。该文提出一种基于基础数据正态化处理的科技期刊学术影响力构想,以期能够全面、客观、动态地反映科技期刊的学术影响力。

Cited index and impact factor are the vital indication evaluating the impact power of scientific journal, both of which are calculated based on the cited number of the single paper published in the journal in a period of time. However, the non-normal distribution of the basic data can causes inevitably the distortion in calculated results. Therefore, an impact evaluation of scientific journal based on the data modification via normal distribution was discussed in this paper, which can respond the impact power of the journal more overall, objectively and dynamically.