Predicting COVID-19 cases using SARS-CoV-2 RNA in air, surface swab and wastewater samples is a research paper published in The Science of The Total Environment (2022). On theSindex it has a DataRank of 0.550. It has been cited 38 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
0.550
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: R01EY026174
National Institutes of Health
Grant: U01DA053941
NIAID NIH HHS
Grant: P30 AI073961
NCATS NIH HHS
Grant: UL1 TR002736
National Institutes of Health
Grant: 5R01EY026174-04
Dry Eye and Microenvironment
National Institutes of Health
Grant: 1U01DA053941-01
Development and Proof-of-Concept Implementation of the South Florida Miami RADx-rad SARS-CoV-2 Wastewater-Based Surveillance Infrastructure
Department of Health and Human Services
FWCI
3.39
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals