[目的/意义]探究学术社交网络中科研成果浏览行为规律及其影响因素，有助于用户基于学术社交网络提升科研成果的传播效果和影响力。[方法/过程]文章选取ResearchGate中32 501篇科研成果，揭示其浏览量整体分布和以周为单位的时序变化规律。从第一作者、合作者数量、展现形式以及质量水平四个维度利用相关分析，并结合主成分分析改进和逻辑回归分析对科研成果浏览量总量影响因素进行探究。[结果/结论]研究发现学术社交网络中科研成果总浏览量呈现幂律分布特征；以周为观察周期，多数科研成果的传播效果仍较小；科研成果的浏览量时序变化可细分为骤升骤降型、持续升降型、平稳变化型、低浏览量型四种类型；反映科研成果在RG上呈现内容完整度的全文信息和图片信息、第一作者的篇均浏览量、反映科研成果质量的科研成果兴趣值和引用量均显著正向影响科研成果的浏览量水平，且影响程度依次降低；丰富科研成果展现形式与内容，提升完整成果能见度是学术社交网络平台及其用户提升科研成果浏览量水平的关键。

[Purpose/significance] Research on the characteristics and influencing factors of browsing behavior of research publications in academic social networks can help users improve the dissemination effect and influence of research publications based on academic social networks. [Method/process] With 32 501 research publications selecting from ResearchGate, this paper reveals the overall distribution of reads and the time-series change in weeks. Fromthe four dimensions of first author, number of collaborators, presentation form and quality level, this paper uses correlation analysis combined with principal components analysis and logistic regression analysis to explore the influencingfactors of research publications’reads. [Result/conclusion] The research discovers that the reads of research publications in academic social networks present the power-law distribution, and the dissemination effect of most researchpublications is still small in weeks. According to its time-series change, research publications can be divided into fourtypes: swell and swell, continuous ascent, steady change and low-read. Full article and abstract pictures reflecting thecompleteness of research publications’content on RG, the average reads of the first author, the research interest and citations reflecting the quality of research publications all have significant positive impacts on the browsing level of research publications, and the degree of impact decreases in turn. Enriching the display form and content of research publications and improving the visibility of complete publications are the keys to improve the reads of research publications for academic social networks and their users.