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[目的/意义]期刊评价指标是期刊某个视角水平的综合体现,因此有必要必须不断深化和发展;提出一个新的期刊存量指标——历史影响因子,就是期刊总被引频次除以载文量再除以办刊年限。[方法/过程]以科技管理类期刊为例,基于中国知网数据库CNKI,采用相关系数、聚类分析、岭回归进行了实证。[结果/结论]研究表明,历史影响因子兼有影响因子和h指数的优点,克服了传统期刊评价指标存量指标过少、不考虑期刊办刊时间、不考虑期刊载文数量等局限,是一个较好的期刊评价指标。历史影响因子没有考虑期刊自引问题,而且不同的引文数据库对历史影响因子的影响也比较大,在具体应用时可根据需要排除自引或选择其他引文数据库。
[Purpose / Significance] Periodical evaluation index is a comprehensive reflection of a journal’s perspective, so it is necessary to constantly deepen and develop. Propose a new periodical inventory index - the historical influence factor, which is the total number of times cited by the journal divided by the number of articles Divide by the number of years of service. [Methods / Processes] Taking science and technology management journals as an example, based on China CNKI database CNKI, the correlation coefficient, cluster analysis and ridge regression were used to verify the results. [Results / Conclusion] The research shows that the historical influencing factor has the advantages of both the influencing factor and the h-index, overcomes the shortcomings of the stock index of the evaluation index of the traditional periodicals, does not consider the time of the periodicals, Good journal evaluation index. The historical influencing factors do not consider the issue of journal self-citation, and the different citation databases have a relatively large impact on the historical influencing factors. In the specific application, other citation databases may be excluded or selected as needed.