来源指标与被引指标关系及对期刊评价的影响——以JCR数学期刊为例

New Method to Evaluate Academic Journals:Case Study of Mathematics Journals

【目的】分析学术期刊来源指标与目标指标之间的关系以及由此导致的对期刊评价的影响。【方法】以JCR2015年数学期刊为例,采用典型相关分析对期刊来源指标与影响力指标的关系进行研究。【结果】实验结果表明:特征因子是期刊影响力的主要指标;期刊来源指标与影响力指标相关关系显著,以特征因子为主的影响力指标与载文量的相关系数最高,其次是引用半衰期,最后是文献选出率;总被引频次、被引半衰期、影响因子、影响因子百分位对特征因子的贡献较大,而其他诸如他引影响因子、5年影响因子、即年指标的贡献较小;影响力指标比来源指标包含更多信息量。【局限】来源指标与影响力指标的关系尚需进一步检验。【结论】从期刊多属性评价角度,影响力指标的权重应大于来源指标的权重;在影响力指标中,有必要增加特征因子分值与标准特征因子的权重,并合理分配总被引频次、被引半衰期、影响因子、影响因子百分位的权重,另一方面要适当降低他引影响因子、5年影响因子、即年指标的权重。

[Objective] This paper evaluates academic journals with the help of their source indexes and impact indicators. [Methods] We collected data from tile Journal Citation Report （JCR） in 2015 for Mathematics ones, and then conducted canonical correlation analysis with the data. [Results] Firstly, eigenfactor was the major indicator of the influence of journals. Secondly, the journal source indexes and impact indicators were significantly correlated with each other. Thirdly, total citation numbers, citation half-life, journal impact factors and journal impact factor percentile had higher contribution to the eigenfactor. Fourthly, impact indicators contain more information than the source indexes. [Limitations] More research is needed to investigate the relationship between the source indexes and impact indicators. [Conclusions] The impact indicators are more important than the source indexes. We need to increase the eigenfactor score and the weight of normalized eigenfactor. We should also decrease the weights of impact thctor without journal self citations, 5-year impact factor and inunediacy index.