Machine learning to identify risk factors associated with the development of ventilated hospital-acquired pneumonia and mortality: implications for antibiotic therapy selection is a research paper published in Frontiers in Medicine (2023). On theSindex it has a DataRank of 0.396. It has been cited 13 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
0.396
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 →NCATS NIH HHS
Grant: UL1 TR000130
NCATS NIH HHS
Grant: UL1 TR001855
National Institutes of Health
Grant: 3UL1TR000130-05S2
Southern California Clinical and Translational Science Institute
National Institutes of Health
Grant: 3UL1TR001855-06A1S1
Southern California Clinical and Translational Science Institute
FWCI
2.31
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals