Data from: Impact of lexical and sentiment factors on the popularity of scientific papers

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.

本研究探讨学术论文的文本属性与其被引频次之间的关联关系。我们的核心发现为：相关性呈现非线性特征，且对高被引论文与普通论文的影响存在差异。例如，我们发现，在绝大多数期刊中，简短的标题仅在高被引论文群体中与被引频次呈正相关；而对于普通论文而言，二者的相关性通常为负相关。我们对1500余种期刊中的430万篇论文的标题与摘要层面计算得到的六项不同特征展开分析，结果显示，作者数量、摘要长度与复杂度对被引频次具有最强的（正向）影响。