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International authorship and collaboration across bioRxiv preprints

Preprints are becoming well established in the life sciences, but relatively little is known about the demographics of the researchers who post preprints and those who do not, or about the collaborations between preprint authors. Here, based on an analysis of 67,885 preprints posted on bioRxiv, we f...

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Detalles Bibliográficos
Autores principales: Abdill, Richard J, Adamowicz, Elizabeth M, Blekhman, Ran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7384855/
https://www.ncbi.nlm.nih.gov/pubmed/32716295
http://dx.doi.org/10.7554/eLife.58496
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author Abdill, Richard J
Adamowicz, Elizabeth M
Blekhman, Ran
author_facet Abdill, Richard J
Adamowicz, Elizabeth M
Blekhman, Ran
author_sort Abdill, Richard J
collection PubMed
description Preprints are becoming well established in the life sciences, but relatively little is known about the demographics of the researchers who post preprints and those who do not, or about the collaborations between preprint authors. Here, based on an analysis of 67,885 preprints posted on bioRxiv, we find that some countries, notably the United States and the United Kingdom, are overrepresented on bioRxiv relative to their overall scientific output, while other countries (including China, Russia, and Turkey) show lower levels of bioRxiv adoption. We also describe a set of ‘contributor countries’ (including Uganda, Croatia and Thailand): researchers from these countries 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 US.
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spelling pubmed-73848552020-07-29 International authorship and collaboration across bioRxiv preprints Abdill, Richard J Adamowicz, Elizabeth M Blekhman, Ran eLife Computational and Systems Biology Preprints are becoming well established in the life sciences, but relatively little is known about the demographics of the researchers who post preprints and those who do not, or about the collaborations between preprint authors. Here, based on an analysis of 67,885 preprints posted on bioRxiv, we find that some countries, notably the United States and the United Kingdom, are overrepresented on bioRxiv relative to their overall scientific output, while other countries (including China, Russia, and Turkey) show lower levels of bioRxiv adoption. We also describe a set of ‘contributor countries’ (including Uganda, Croatia and Thailand): researchers from these countries 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 US. eLife Sciences Publications, Ltd 2020-07-27 /pmc/articles/PMC7384855/ /pubmed/32716295 http://dx.doi.org/10.7554/eLife.58496 Text en © 2020, Abdill et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Computational and Systems Biology
Abdill, Richard J
Adamowicz, Elizabeth M
Blekhman, Ran
International authorship and collaboration across bioRxiv preprints
title International authorship and collaboration across bioRxiv preprints
title_full International authorship and collaboration across bioRxiv preprints
title_fullStr International authorship and collaboration across bioRxiv preprints
title_full_unstemmed International authorship and collaboration across bioRxiv preprints
title_short International authorship and collaboration across bioRxiv preprints
title_sort international authorship and collaboration across biorxiv preprints
topic Computational and Systems Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7384855/
https://www.ncbi.nlm.nih.gov/pubmed/32716295
http://dx.doi.org/10.7554/eLife.58496
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