Machine learning-based model to predict composite thromboembolic events among Chinese elderly patients with atrial fibrillation is a research paper published in BMC Cardiovascular Disorders (2024). On theSindex it has a DataRank of 0.312. It has been cited 7 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
0.312
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 →The Project of Chinese Military Health Care
Grant: 23BJZ28
The Project of Chinese Military Health Care
Grant: 20BJZ44
FWCI
2.35
Citation Percentile
0.9%
Citation Trend
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