[目的/意义]用数理统计的方法探索PLoS平台开放获取的学术论文在网络媒体中浏览量的累积规律，丰富对Altmetrics指标的研究方法。[方法/过程]跟踪记录PLoS Biology和PLoS Medicine期刊2016年11月份发表的38篇研究论文的浏览量数据，数据收集截止到2017年10月16日。利用曲线拟合和计算特别节点等方法对所记录数据进行统计学分析及检验，探索总浏览量指标的累积规律。[结果/结论]总浏览量累积曲线与对数曲线拟合优度最高，平均为0.97；计算出累积曲线的特别节点S （x，y），将总浏览量累积过程分为集中浏览期和分散浏览期两个阶段，其中集中浏览期约占总阶段的10%，而浏览量却超过了全部浏览量的55%。

[Purpose/significance] The purpose of this paper is to research the cumulative rules of PLoS OA articles' views in online media and to enrich the research methods of Altmetrics by mathematical statistics.[Method/process] The tracking data for 38 research papers published in November 2016 by PLoS Biology and PLoS Medicine are collected until October 16, 2017. By using the method of curve fitting and special node calculation, the statistical analysis and test of the recorded data are carried out to explore the cumulative rule of the total page view index.[Result/conclusion] The goodness of fit of logarithmic curve to the cumulative curve of total views is the best, with an average of 0.97. The special point S(x,y) of the cumulative curve is calculated, and the cumulative curve of total views is successfully divided into two stages:centralized view period and decentralized view period, of which the centralized view period accounts for about 10% of all stage, while the view volume exceeds 55% of all stage.