文章摘要
刘贵伟,彭彩红,赵福荣.基于数据正态化处理的期刊学术影响力研究.编辑学报,2009,21(4):369-370
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
投稿时间:2009-01-26  修订日期:2009-01-26
DOI:
中文关键词: 科技期刊  学术影响力  正态分布
英文关键词: scientific journal  impact power  normal distribution
基金项目:辽宁省教育厅科技研究资助项目
作者单位
刘贵伟 《大连工业大学学报》编辑部,116034,辽宁大连 
彭彩红 《大连工业大学学报》编辑部,116034,辽宁大连 
赵福荣 《大连工业大学学报》编辑部,116034,辽宁大连 
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中文摘要:
      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。
英文摘要:
      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.
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