Forecasting the publication and citation outcomes of COVID-19 preprints

Many publications on COVID-19 were released on preprint servers such as medRxiv and bioRxiv. It is unknown how reliable these preprints are, and which ones will eventually be published in scientific journals. In this study, we use crowdsourced human forecasts to predict publication outcomes and futu...

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Detalles Bibliográficos
Autores principales: Gordon, Michael, Bishop, Michael, Chen, Yiling, Dreber, Anna, Goldfedder, Brandon, Holzmeister, Felix, Johannesson, Magnus, Liu, Yang, Tran, Louisa, Twardy, Charles, Wang, Juntao, Pfeiffer, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2022
Materias:
Mathematics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9515639/
https://www.ncbi.nlm.nih.gov/pubmed/36177198
http://dx.doi.org/10.1098/rsos.220440

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9515639/
https://www.ncbi.nlm.nih.gov/pubmed/36177198
http://dx.doi.org/10.1098/rsos.220440

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