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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2022
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Materias: | |
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 |
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