Predicting Hospital Utilization and Inpatient Mortality of Patients Tested for COVID-19 is a research paper published in medRxiv (2020). On theSindex it has a DataRank of 0.406. It has been cited 14 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.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.406
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: 1R01EB025020-01
QuBBD: Deep Poisson Methods for Biomedical Time-to-Event and Longitude Data
NIBIB NIH HHS
Grant: R01 EB025020
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Keywords
Sustainable Development Goals