We study how publicity in the science press, in the form of highlighting, affects the citations of research papers. Using multiple linear regression, we quantify the citation advantage associated with several highlighting platforms for papers published in Physical Review Letters (PRL) from 2008-2018. We thus find that the strongest predictor of citation accrual is a Viewpoint in Physics magazine, followed by a Research Highlight in Nature, an Editors' Suggestion in PRL, and a Research Highlight in Nature Physics. A similar hierarchical pattern is found when we search for extreme, not average, citation accrual, in the form a paper being listed among the top-1% cited papers in physics by Clarivate Analytics. The citation advantage of each highlighting platform is stratified according to the degree of vetting for importance that the manuscript received during peer review. This implies that we can view highlighting platforms as predictors of citation accrual, with varying degrees of strength that mirror each platform's vetting level.

中文翻译：

---

科学媒体中的宣传是否会增加引文？

我们以突出显示的形式研究科学出版物中的宣传如何影响研究论文的引文。使用多元线性回归，我们对2008-2018年《物理评论快报》（PRL）上发表的论文的几个突出显示平台相关的引用优势进行了量化。因此，我们发现引文应计的最强预测因子是《物理学》杂志的观点，其次是《自然》杂志的研究要点，《 PRL》杂志的编辑建议和《自然物理学》杂志的要闻。当我们搜索极端而不是平均的引文应计时，会发现类似的分层模式，其形式是Clarivate Analytics将其列为物理学中被引用率最高的前1％的论文。每个突出显示平台的引文优势根据同行评审过程中手稿获得重要性的审查程度进行分层。这意味着我们可以将突出显示的平台视为引文应计的预测指标，其强度程度可以反映每个平台的审核水平。