Deep learning survival model predicts outcome after intracerebral hemorrhage from initial CT scan is a research paper published in European Stroke Journal (2024). On theSindex it has a DataRank of 0.373. It has been cited 11 times.
Scored on demand from live citation data
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DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
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Base Score Contribution
0.373
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 →AHA
Grant: 18SFRN34250007
AHA-Bugher
Grant: 21SFRN812095
NIH
Grant: R01NS103924
NIH
Grant: U01NS069673
American Heart Association-American Stroke Association
Grant: 814721
NCATS NIH HHS
Grant: UL1 TR001863
Berta-Ottenstein-Program for Advanced Clinician Scientists
MGH McCance Center for Brain Health
FWCI
2.96
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals