Cargando…
A theory and methodology to quantify knowledge
This article proposes quantitative answers to meta-scientific questions including ‘how much knowledge is attained by a research field?’, ‘how rapidly is a field making progress?’, ‘what is the expected reproducibility of a result?’, ‘how much knowledge is lost from scientific bias and misconduct?’,...
Autor principal: | Fanelli, Daniele |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6502358/ https://www.ncbi.nlm.nih.gov/pubmed/31183113 http://dx.doi.org/10.1098/rsos.181055 |
Ejemplares similares
-
Reciprocity and alignment: quantifying coupling in dynamic interactions
por: Dumas, Guillaume, et al.
Publicado: (2021) -
Do infants and preschoolers quantify probabilities based on proportions?
por: Placì, Sarah, et al.
Publicado: (2020) -
Quantifying the cost of decision fatigue: suboptimal risk decisions in finance
por: Baer, Tobias, et al.
Publicado: (2021) -
A machine learning approach to quantify the specificity of colour–emotion associations and their cultural differences
por: Jonauskaite, Domicele, et al.
Publicado: (2019) -
How best to quantify replication success? A simulation study on the comparison of replication success metrics
por: Muradchanian, Jasmine, et al.
Publicado: (2021)