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.本研究旨在探讨学术论文的文本属性与其被引频次之间的关联机制。本研究的核心发现为：相关性呈非线性特征，且对高被引论文与普通学术论文的影响存在显著差异。例如，本研究观察到，在多数期刊中，简短标题仅在高被引论文群体中与被引频次呈正相关；而针对普通学术论文，二者的相关性通常为负相关。本研究针对1500余种期刊收录的430万篇学术论文，分别从标题与摘要层面计算得到六项不同的文本属性因子，并通过分析发现：作者数量、摘要的长度与复杂度，是对论文被引频次产生最强正向影响的因素。