On biases of attention in scientific discovery.
Journal
Bioinformatics (Oxford, England)
ISSN: 1367-4811
Titre abrégé: Bioinformatics
Pays: England
ID NLM: 9808944
Informations de publication
Date de publication:
01 Apr 2021
01 Apr 2021
Historique:
received:
28
01
2020
revised:
28
10
2020
accepted:
02
12
2020
medline:
17
12
2020
pubmed:
17
12
2020
entrez:
16
12
2020
Statut:
ppublish
Résumé
How do nuances of scientists' attention influence what they discover? We pursue an understanding of the influences of patterns of attention on discovery with a case study about confirmations of protein-protein interactions over time. We find that modeling and accounting for attention can help us to recognize and interpret biases in large-scale and widely used databases of confirmed interactions and to better understand missing data and unknowns. Additionally, we present an analysis of how awareness of patterns of attention and use of debiasing techniques can foster earlier discoveries. The data is freely available at https://github.com/urielsinger/PPI-unbias.
Identifiants
pubmed: 33325496
pii: 6039114
doi: 10.1093/bioinformatics/btaa1036
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
5269-5274Informations de copyright
© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.