
AbstractAs preprints become integrated into conventional avenues of scientific communication, it’s critical to understand who is included and who is not. However, little is known about which countries are participating or how they collaborate with each other. Here, we present an analysis of all 67,885 preprints posted on bioRxiv (through 2019) using the first comprehensive dataset of country-level preprint author affiliations. We find the plurality of preprints (39%) come from the United States, and that countries such as the U.S. and U.K. are overrepresented on bioRxiv relative to their overall scientific output, while countries including China, Russia, and Turkey show lower bioRxiv adoption. We describe a set of “contributor countries” including Uganda, Croatia and Thailand that appear almost exclusively as non-senior authors on international collaborations. Lastly, we find multiple journals that publish a disproportionate number of preprints from some countries, a dynamic that almost always benefits manuscripts from the U.S.
Biomedical Research, Internationality, QH301-705.5, Science, Q, R, Datasets as Topic, meta-research, scientific publishing, Online Systems, Authorship, Research Personnel, Preprints as Topic, Bibliometrics, preprints, bioRxiv, Medicine, bibliometrics, Biology (General), Computational and Systems Biology
Biomedical Research, Internationality, QH301-705.5, Science, Q, R, Datasets as Topic, meta-research, scientific publishing, Online Systems, Authorship, Research Personnel, Preprints as Topic, Bibliometrics, preprints, bioRxiv, Medicine, bibliometrics, Biology (General), Computational and Systems Biology
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 21 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
