Temperature dependence of mosquitoes: Comparing mechanistic and machine learning approaches is a research paper published in PLoS neglected tropical diseases (2024). On theSindex it has a DataRank of 0.416. It has been cited 15 times.
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Base Score Contribution
0.416
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
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Grant: T32GM144273
Stanford University
Grant: Illich-Sadowsky Fellowship
Center for the Environment, Harvard University
Grant: Environmental Fellowship
Fogarty International Center
Grant: DEB-2011147
National Institute of Allergy and Infectious Diseases
Grant: R01AI168097
National Institute of Allergy and Infectious Diseases
Grant: R01AI102918
National Institutes of Health
Grant: R35GM133439
Stanford Woods Institute for the Environment
Grant: seed grant
Stanford University
Grant: Terman Award
Stanford Institute for Human-Centered Artificial Intelligence, Stanford University
Grant: Postdoctoral Fellowship
National Institutes of Health
Grant: 5R35GM133439-03
Leveraging environmental drivers to predict vector-borne disease transmission
National Science Foundation
Grant: 2011147
How land use change transforms the landscape of vector-borne disease
National Institutes of Health
Grant: 5R01AI102918-05
The Burden of Chikungunya and Dengue Transmission, Infection and Disease in Kenya
National Institutes of Health
Grant: 3T32GM144273-03S1
Medical Scientist Training Program
National Institutes of Health
Grant: 1R01AI168097-01
Modeling the influence of temperature on the evolution of vector-virus interactions
FWCI
6.16
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals