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.

本研究旨在探究学术论文的文本特征与其被引频次之间的关联规律。本研究的核心发现为：文本特征与被引频次的关联呈非线性特征，且对高被引论文与普通论文的影响存在显著差异。例如，本研究发现，在绝大多数期刊中，简短标题仅对高被引论文呈现正向被引关联，而对普通论文的被引关联通常为负向。本研究针对1500余种期刊收录的430万篇学术论文，在标题与摘要层面提取六项不同特征展开分析，结果表明：作者数量、摘要长度与复杂度对论文被引频次具有最强的（正向）影响。