网络环境下，为了有效评价不同年龄的论文综合影响力，文章根据Altmetrics不同指标随时间变化的不同表现，提出时间因素视角下的首次他引速度Cs、月被引峰值Ctop、月均使用量Ut、首月讨论量T1等指标，并经过数据标准化、分配权重将各指标结合起来，构建动态、全面的论文影响力综合评价体系，以降低时间因素对指标数值累积的影响，更客观、公正地评价新老文献。文章选择PLOS网站的PLOS使用数据、Scopus引用数据、Twitter讨论数据，以2011年至2017年每年被引频次最高的10篇高被引论文为样本，进行实证研究。研究发现：多维度的动态论文影响力综合评价体系，有效地解决了时间因素的累积效应，在公平客观地评价不同年龄文献的同时，还可以有效识别发文时间较短的高价值新文献。

In the network environment, in order to effectively evaluate the comprehensive influence of papers in different ages, this paper proposes firstly citation speed Cs, the monthly citation peak Ctop, the monthly average usage Ut and the first month discussion T1 according to the different performances of different indicators over time, and use the standardization and distribution weights to combine the evaluation indicators to build a dynamic and comprehensive evaluation system for the influence of the paper. Taking the PLOS usage index, Scopus citation index and Twitter discussion index on the PLOS website as examples, the top 10 highly cited papers with the highest citation frequency from 2011 to 2017 were selected as samples for empirical research. It is found that the multi-dimensional dynamic evaluation system effectively solves the cumulative effect of time factors. While evaluating the papers of different ages fairly and objectively, it can also effectively identify high-value new papers with short published time.