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[目的/意义]鉴于Scopus、Web of Science(WoS)与Google Scholar(GS)3个单源数据库在计量学研究和应用中的局限,发展综合利用多源数据信息的复合型引文分析方法可为计量学分析提供一种补充思路。[方法/过程]以期刊总被引次数这一底层参量为切入点,用图书情报学国际期刊2009-2014年数据为实证基础,尝试对多源数据复合引文算术均值、几何均值及调和均值方法进行比较讨论。[结果/结论]结果发现,算术均值、几何均值和调和均值虽有差异,但亦有线性关联,应用中可选其一;累计算术均值、几何均值和调和均值与期刊数之间未证实存在布拉德福定律,但在期刊数量等同的三分区内,累计被引均值满足形如n~2:n:1的经验分布;多源数据复合引文与单个数据库引文的期刊排名差异呈现“两端小、中间大”之现象;期刊的算术均值排名与GS排名结果更接近,几何均值排名则与Scopus相似度更高,而调和均值与WoS的排名差异最小。
[Purpose / Significance] In view of the limitations of the three single-source databases of Scopus, Web of Science (WoS) and Google Scholar (GS) in metrology research and application, the development of a composite citation analysis method that comprehensively uses multi-source data information may be Metrological analysis provides a complementary idea. [Methods / Processes] Starting from the bottom of the journal’s total cited citations, using the data of the International Journal of Library and Information Science from 2009 to 2014 as an empirical evidence, we tried to find out the arithmetic average, geometric mean and harmonic mean of compound citations of multi-source data For comparative discussion. [Results / Conclusions] The results showed that although the arithmetic mean, geometric mean and harmonic mean were different, they were also linearly related and could be used in one application. The cumulative mean, geometric mean and reconciliation mean were not confirmed Bradford’s law, but in the same number of journals, the cumulative average of citation satisfies the empirical distribution of form n ~ 2: n: 1. The difference of journal rankings between compound citation of multiple sources and citation of single database shows “ Both ends of small, middle big ”phenomenon; Journal of arithmetic mean rankings and GS rankings closer to the geometric mean rankings Scopus higher degree of similarity, and the harmonic mean WoS ranked the smallest difference.