Predicting the zoonotic capacity of mammals to transmit SARS-CoV-2 is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2021). On theSindex it has a DataRank of 0.533. It has been cited 34 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
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Base Score Contribution
0.533
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.
Learn more about DataRank methodology →National Institutes of Health
Grant: 5U01AI151807-03
Coordinating Research on Emerging Arboviral Threats Encoing the Neotropics (CREATE-NEO)
National Science Foundation
Grant: 1935870
COLLABORATIVE: Population Growth at the Southern Extreme: Effects of Early Life Conditions on Adelie penguin Individuals and Colonies
National Science Foundation
Grant: 1717282
Global patterns, predictors, and their dynamical consequences in zoonotic diseases of mammals
National Science Foundation
Grant: 1947040
EAGER: Origin and Physiological Consequences of a Neoplasm Outbreak in Antarctic Fish
National Institutes of Health
Grant: 5R35GM122543-04
Cost Effective, Synergistic Macromolecular Structure Determination, Analysis & Simulation
Fields of Study
Keywords
Sustainable Development Goals