Predicting Hypoperfusion Lesion and Target Mismatch in Stroke from Diffusion-weighted MRI Using Deep Learning is a research paper published in Radiology (2022). On theSindex it has a DataRank of 1.0. It has been cited 29 times, with 23 citing works in its 1-hop citation network.
Scored on demand from live citation data
Linked data & code
Repositories this paper deposited data in (declared in PubMed).
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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We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.510
From this paper's citation signal
Citation Network Contribution
0.504
From 18 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 23 citers.
National Institutes of Health
Grant: R01-NS066506
NINDS NIH HHS
Grant: R01 NS130172
NINDS NIH HHS
Grant: R01 NS066506
National Institutes of Health
Grant: 5R01NS066506-08
Imaging Collaterals in Acute Stroke (iCAS)
FWCI
3.96
Citation Percentile
0.9%
Citation Trend
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