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Publication rate and citation counts for preprints released during the COVID-19 pandemic: the good, the bad and the ugly

BACKGROUND: Preprints are preliminary reports that have not been peer-reviewed. In December 2019, a novel coronavirus appeared in China, and since then, scientific production, including preprints, has drastically increased. In this study, we intend to evaluate how often preprints about COVID-19 were...

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Autores principales: Añazco, Diego, Nicolalde, Bryan, Espinosa, Isabel, Camacho, Jose, Mushtaq, Mariam, Gimenez, Jimena, Teran, Enrique
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7936563/
https://www.ncbi.nlm.nih.gov/pubmed/33717688
http://dx.doi.org/10.7717/peerj.10927
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author Añazco, Diego
Nicolalde, Bryan
Espinosa, Isabel
Camacho, Jose
Mushtaq, Mariam
Gimenez, Jimena
Teran, Enrique
author_facet Añazco, Diego
Nicolalde, Bryan
Espinosa, Isabel
Camacho, Jose
Mushtaq, Mariam
Gimenez, Jimena
Teran, Enrique
author_sort Añazco, Diego
collection PubMed
description BACKGROUND: Preprints are preliminary reports that have not been peer-reviewed. In December 2019, a novel coronavirus appeared in China, and since then, scientific production, including preprints, has drastically increased. In this study, we intend to evaluate how often preprints about COVID-19 were published in scholarly journals and cited. METHODS: We searched the iSearch COVID-19 portfolio to identify all preprints related to COVID-19 posted on bioRxiv, medRxiv, and Research Square from January 1, 2020, to May 31, 2020. We used a custom-designed program to obtain metadata using the Crossref public API. After that, we determined the publication rate and made comparisons based on citation counts using non-parametric methods. Also, we compared the publication rate, citation counts, and time interval from posting on a preprint server to publication in a scholarly journal among the three different preprint servers. RESULTS: Our sample included 5,061 preprints, out of which 288 were published in scholarly journals and 4,773 remained unpublished (publication rate of 5.7%). We found that articles published in scholarly journals had a significantly higher total citation count than unpublished preprints within our sample (p < 0.001), and that preprints that were eventually published had a higher citation count as preprints when compared to unpublished preprints (p < 0.001). As well, we found that published preprints had a significantly higher citation count after publication in a scholarly journal compared to as a preprint (p < 0.001). Our results also show that medRxiv had the highest publication rate, while bioRxiv had the highest citation count and shortest time interval from posting on a preprint server to publication in a scholarly journal. CONCLUSIONS: We found a remarkably low publication rate for preprints within our sample, despite accelerated time to publication by multiple scholarly journals. These findings could be partially attributed to the unprecedented surge in scientific production observed during the COVID-19 pandemic, which might saturate reviewing and editing processes in scholarly journals. However, our findings show that preprints had a significantly lower scientific impact, which might suggest that some preprints have lower quality and will not be able to endure peer-reviewing processes to be published in a peer-reviewed journal.
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spelling pubmed-79365632021-03-12 Publication rate and citation counts for preprints released during the COVID-19 pandemic: the good, the bad and the ugly Añazco, Diego Nicolalde, Bryan Espinosa, Isabel Camacho, Jose Mushtaq, Mariam Gimenez, Jimena Teran, Enrique PeerJ Evidence Based Medicine BACKGROUND: Preprints are preliminary reports that have not been peer-reviewed. In December 2019, a novel coronavirus appeared in China, and since then, scientific production, including preprints, has drastically increased. In this study, we intend to evaluate how often preprints about COVID-19 were published in scholarly journals and cited. METHODS: We searched the iSearch COVID-19 portfolio to identify all preprints related to COVID-19 posted on bioRxiv, medRxiv, and Research Square from January 1, 2020, to May 31, 2020. We used a custom-designed program to obtain metadata using the Crossref public API. After that, we determined the publication rate and made comparisons based on citation counts using non-parametric methods. Also, we compared the publication rate, citation counts, and time interval from posting on a preprint server to publication in a scholarly journal among the three different preprint servers. RESULTS: Our sample included 5,061 preprints, out of which 288 were published in scholarly journals and 4,773 remained unpublished (publication rate of 5.7%). We found that articles published in scholarly journals had a significantly higher total citation count than unpublished preprints within our sample (p < 0.001), and that preprints that were eventually published had a higher citation count as preprints when compared to unpublished preprints (p < 0.001). As well, we found that published preprints had a significantly higher citation count after publication in a scholarly journal compared to as a preprint (p < 0.001). Our results also show that medRxiv had the highest publication rate, while bioRxiv had the highest citation count and shortest time interval from posting on a preprint server to publication in a scholarly journal. CONCLUSIONS: We found a remarkably low publication rate for preprints within our sample, despite accelerated time to publication by multiple scholarly journals. These findings could be partially attributed to the unprecedented surge in scientific production observed during the COVID-19 pandemic, which might saturate reviewing and editing processes in scholarly journals. However, our findings show that preprints had a significantly lower scientific impact, which might suggest that some preprints have lower quality and will not be able to endure peer-reviewing processes to be published in a peer-reviewed journal. PeerJ Inc. 2021-03-03 /pmc/articles/PMC7936563/ /pubmed/33717688 http://dx.doi.org/10.7717/peerj.10927 Text en © 2021 Añazco et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Evidence Based Medicine
Añazco, Diego
Nicolalde, Bryan
Espinosa, Isabel
Camacho, Jose
Mushtaq, Mariam
Gimenez, Jimena
Teran, Enrique
Publication rate and citation counts for preprints released during the COVID-19 pandemic: the good, the bad and the ugly
title Publication rate and citation counts for preprints released during the COVID-19 pandemic: the good, the bad and the ugly
title_full Publication rate and citation counts for preprints released during the COVID-19 pandemic: the good, the bad and the ugly
title_fullStr Publication rate and citation counts for preprints released during the COVID-19 pandemic: the good, the bad and the ugly
title_full_unstemmed Publication rate and citation counts for preprints released during the COVID-19 pandemic: the good, the bad and the ugly
title_short Publication rate and citation counts for preprints released during the COVID-19 pandemic: the good, the bad and the ugly
title_sort publication rate and citation counts for preprints released during the covid-19 pandemic: the good, the bad and the ugly
topic Evidence Based Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7936563/
https://www.ncbi.nlm.nih.gov/pubmed/33717688
http://dx.doi.org/10.7717/peerj.10927
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