单篇论文网络浏览量的跟踪研究

Altmetrical data tracking research on website page view of single article

【目的】以开放平台的研究论文为研究对象,跟踪分析单篇论文的各项Altmetrics数据,探讨研究论文的网络传播特征及规律,丰富学术论文的网络传播理论。【方法】跟踪记录PLo S Biology和PLo S Medicine期刊38篇研究论文的Altmetrics数据,数据收集日期为2016年11月论文发表日至2017年10月16日。利用统计学方法分析以及检验记录的数据,重点探索总浏览量指标的累积趋势和分布规律。【结果】研究论文总浏览量累积曲线呈现规律性增长,增长速度先快后慢;20%研究论文的总浏览量之和是另外80%研究论文所累积的总浏览量之和的一半以上;论文初期与后期2个时间节点的总浏览量的分布情况一致。【结论】论文发表初期是总浏览量的大量累积阶段,不同论文的总浏览量分布规律随时间增长具有一致性。

[Purposes] Based on the research articles of open access platforms,Altmetrics indexes of single article were tracked and analyzed,the characteristics and laws of research articles were discussed to enrich network dissemination theories of academic papers.[Methods] The Altmetrics data of 38 research articles published from November 2016 in PLoS Biology and PLoS Medicine were tracked and recorded. The ending record was on October 16,2017. The cumulative trends and distribution of the total view indicator were explored,and the statistical analysis and test of collected data were performed. [Findings] The cumulative curves of page views show sustained growth with certain regularity,and the growth rate increases first and gradually decreases with time. The sum of the total view s of 20% articles is more than half of that of another 80% articles. The distribution characteristics of total views of different stages are consistent. [Conclusions] The initial period of publication is a large accumulation stage of page view. The growth with time for the page view distribution of different articles is consistent.