We present an analysis on the uptake of open access on COVID-19 related literature as well as the social media attention they gather when compared with non OA papers. We use a dataset of publications curated by Dimensions and analyze articles and preprints. Our sample includes 11,686 publications of which 67.5% are openly accessible. OA publications tend to receive the largest share of social media attention as measured by the Altmetric Attention Score. 37.6% of OA publications are bronze, which means toll journals are providing free access. MedRxiv contributes to 36.3% of documents in repositories but papers in BiorXiv exhibit on average higher AAS. We predict the growth of COVID-19 literature in the following 30 days estimating ARIMA models for the overall publications set, OA vs. non OA and by location of the document (repository vs. journal). We estimate that COVID-19 publications will double in the next 20 days, but non OA publications will grow at a higher rate than OA publications. We conclude by discussing the implications of such findings on the dissemination and communication of research findings to mitigate the coronavirus outbreak.

中文翻译：

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大流行时代的开放获取和高度度量：对COVID-19文献​​的预测分析

与非OA论文相比，我们对COVID-19相关文献对开放获取的吸收以及他们所获得的社交媒体关注度进行了分析。我们使用由Dimensions策划的出版物数据集，并分析文章和预印本。我们的样本包括11,686种出版物，其中67.5％可公开获得。按照Altmetric Attention分数衡量，OA出版物倾向于获得社交媒体关注的最大份额。OA出版物中37.6％是青铜的，这意味着收费期刊可以免费使用。MedRxiv贡献了存储库中36.3％的文档，但是BiorXiv中的论文显示出更高的AAS。我们将在接下来的30天内预测OAMA与非OA以及整个文档集（存储库与期刊）的总体出版物集的ARIMA模型，从而预测COVID-19文献​​的增长。我们估计COVID-19出版物将在未来20天内翻倍，但非OA出版物的增长速度将比OA出版物高。最后，我们讨论了这些发现对研究结果的传播和传播以减轻冠状病毒爆发的影响。