Cargando…
Deep forecasting of translational impact in medical research
The value of biomedical research—a $1.7 trillion annual investment—is ultimately determined by its downstream, real-world impact, whose predictability from simple citation metrics remains unquantified. Here we sought to determine the comparative predictability of future real-world translation—as ind...
Autores principales: | Nelson, Amy P.K., Gray, Robert J., Ruffle, James K., Watkins, Henry C., Herron, Daniel, Sorros, Nick, Mikhailov, Danil, Cardoso, M. Jorge, Ourselin, Sebastien, McNally, Nick, Williams, Bryan, Rees, Geraint E., Nachev, Parashkev |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9122964/ https://www.ncbi.nlm.nih.gov/pubmed/35607619 http://dx.doi.org/10.1016/j.patter.2022.100483 |
Ejemplares similares
-
Redefining the research hospital
por: Nachev, Parashkev, et al.
Publicado: (2019) -
The Value of Data: Applying a Public Value Model to the English National Health Service
por: Wilson, James, et al.
Publicado: (2020) -
Predicting scheduled hospital attendance with artificial intelligence
por: Nelson, Amy, et al.
Publicado: (2019) -
Lost in translation
por: Nachev, Parashkev, et al.
Publicado: (2019) -
Representational ethical model calibration
por: Carruthers, Robert, et al.
Publicado: (2022)