Max Planck Institute for the Physics of Complex Systems , 01187 Dresden, Germany.
R Soc Open Sci. 2016 Jun 22;3(6):160140. doi: 10.1098/rsos.160140. eCollection 2016 Jun.
We investigate how textual properties of scientific papers relate to the number of citations they receive. Our main finding is that correlations are nonlinear and affect differently the most cited and typical papers. For instance, we find that, in most journals, short titles correlate positively with citations only for the most cited papers, whereas for typical papers, the correlation is usually negative. Our analysis of six different factors, calculated both at the title and abstract level of 4.3 million papers in over 1500 journals, reveals the number of authors, and the length and complexity of the abstract, as having the strongest (positive) influence on the number of citations.
我们研究了科学论文的文本属性与它们获得的引用数量之间的关系。我们的主要发现是，相关性是非线性的，并且对最受引用和典型的论文有不同的影响。例如，我们发现，在大多数期刊中，短标题与引用之间的相关性仅在最受引用的论文中为正，而在典型论文中，相关性通常为负。我们对 1500 多种期刊中的 430 万篇论文的六个不同因素进行了分析，结果表明，作者数量、摘要的长度和复杂性对引用数量的影响最大（正向）。
