[目的/意义] 构建多维指标的综合影响力评价模型，为不同层次挖掘高价值文献提供新途径。[方法/过程] 选取临床神经病学、化学与物理、地球科学作为自然科学的代表学科，信息科学与图书馆学、经济学、教育研究作为社会科学的代表学科，在Web of Science核心合集中收集引文指标数据，在Altmetric.com平台中收集Altmetrics计量指标数据，通过指标覆盖率和指标间相关性进行指标筛选，然后利用主成分分析方法建立不同学科的论文综合影响力指标模型并对比分析。[结果/结论] 不同学科的差异使论文影响力评价模型采用的指标有所区别，自然科学和社会科学论文影响力评价模型中共同保留的指标为被引频次、Mendeley、Blogs。在论文综合影响力评价中，学术影响力依然占据主导地位，社会影响力的测评研究发展迅速，两者结合的定量评价能挖掘出综合影响力较高的文献。
[Purpose/significance] The paper constructs the comprehensive influence evaluation model of multidimensional indicators, and provides a new way for mining high value articles at different levels. [Method/process] This paperselected clinical neurology, chemistry, physics and geosciences as the representative of the natural sciences and selected information science and library science,economics and educational research as the representative of the social sciences.Then it collected the citation index data of the Web of Science and the metrological index data in Altmetric.com. The principal component analysis was used to establish the comprehensive influence model of academic papers. [Result/conclusion] Evaluation indicators of disciplines are different, the same indicators arethe citation frequency, Mendeley, Blogs. Academic influence occupies the main position in terms of paper evaluation, and research development on social influence is rapid. Last, the comprehensive influence of high articles can be mined by the combination of academic influence and social influence.
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