Abstract: The social dissemination and communication of science is always an important social function of science. With the coming of mega-science epoch, the communication between science and the public has been growing scarce. However, the social media provide a path for the communication between science and the public, the scientists could also disseminate the scientific achievements direct to the public with the social network platform. As a result, a new scientometrics index takes shape——Altmetrics. This paper takes Proceedings of the Royal Society B-Biological Science and Biology Letters as the object, explores the influence factors for paper ReTweeted on Twitter. From the perspective of time and retweeted users’ factors, we construct the negative binomial regression models to analyze the impacts for retweeting. The result showing that, the published time and delay time have a significant effect to the overall retweeted times the retweeted from the member of public, but the delay time hadn’t make a significant effect for scientists; as while, Journal Public Platform and the retweeted users with many followers also have a significant effect to the overall retweeted times, retweeted from the public and scientists (except the journal public platform for the public). The characteristics of time response and retweeted users’ response reflect the nature of altmetrics——an index for the scientific-social communication.

摘要： 科学向社会大众传播是科学的一项重要社会功能。随着大科学时代的到来，科学与社会公众之间越发缺乏沟通与交流，但庆幸的是社交媒体的出现使得科学家可以直接面向社会公众传播科学成果，在科学的这种社会传播过程中，产生了一种新的科学计量指标——Altmetrics。本文基于《英国皇家学会生物科学学报》和《生物学快报》两刊刊载文献为基础，提取文献在Altmetric.com平台上的Twitter转载数据，以“时间”和“转载”为考量点，构造负二项回归模型，探究转载的影响因素。研究结果表明：发文时间和延迟时间对总转载和社会公众转载的影响是显著的，延迟时间对科学家的转载无显著影响；其次，期刊公众平台对总转载量和科学家转载有显著影响，对社会公众无显著影响，而高影响力转载人对总转载、社会公众转载和科学家转载都存在显著影响。文献转载对时间因素和转载因素的高度响应特征，体现了Altmetrics的本质内涵——一项科学社会传播的计量指标。