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科学界对新提交的预印本的反应:文章下载量、Twitter 提及量和引用量。

How the scientific community reacts to newly submitted preprints: article downloads, Twitter mentions, and citations.

机构信息

School of Informatics and Computing, Indiana University, Bloomington, Indiana, United States of America.

出版信息

PLoS One. 2012;7(11):e47523. doi: 10.1371/journal.pone.0047523. Epub 2012 Nov 1.

Abstract

We analyze the online response to the preprint publication of a cohort of 4,606 scientific articles submitted to the preprint database arXiv.org between October 2010 and May 2011. We study three forms of responses to these preprints: downloads on the arXiv.org site, mentions on the social media site Twitter, and early citations in the scholarly record. We perform two analyses. First, we analyze the delay and time span of article downloads and Twitter mentions following submission, to understand the temporal configuration of these reactions and whether one precedes or follows the other. Second, we run regression and correlation tests to investigate the relationship between Twitter mentions, arXiv downloads, and article citations. We find that Twitter mentions and arXiv downloads of scholarly articles follow two distinct temporal patterns of activity, with Twitter mentions having shorter delays and narrower time spans than arXiv downloads. We also find that the volume of Twitter mentions is statistically correlated with arXiv downloads and early citations just months after the publication of a preprint, with a possible bias that favors highly mentioned articles.

摘要

我们分析了对 2010 年 10 月至 2011 年 5 月期间提交到预印本数据库 arXiv.org 的 4606 篇科学文章的预印本发布的在线响应。我们研究了对这些预印本的三种反应形式:在 arXiv.org 网站上下载、在社交媒体网站 Twitter 上提及以及在学术记录中的早期引用。我们进行了两项分析。首先,我们分析了提交后文章下载和 Twitter 提及的延迟和时间跨度,以了解这些反应的时间配置以及它们是先于还是后于另一个。其次,我们运行回归和相关测试来研究 Twitter 提及、arXiv 下载和文章引用之间的关系。我们发现,学术文章的 Twitter 提及和 arXiv 下载遵循两种不同的活动时间模式,Twitter 提及的延迟更短,时间跨度更窄。我们还发现,Twitter 提及的数量与 arXiv 下载和预印本发布后几个月的早期引用具有统计学相关性,这可能存在偏向于高提及文章的偏差。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/381e/3486871/7562db86264c/pone.0047523.g001.jpg

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