A Study on the Publication Performance of Preprints: A Case of BioRxiv

The authors adopted descriptive statistical methods to analyse the publication performance of preprints on bioRxiv and the Spearman correlation test to analyse the potential relationships between variables. Multiple linear regression models were then applied to explore the influencing factors and their degrees of impact on the two specific publication performance metrics. Based on the results, preprints on bioRxiv demonstrated good publication performance, with an average impact higher than other journals in their respective fields. From the perspective of factors influencing the publication performance of preprints, an increase in Twitter mentions can effectively shorten the time for preprint publication. Additionally, an increase in the degree of academic utilization (including downloading PDFs and citations) will make it more likely for preprints to be published in higher-impact journals.