Optimizing Deep Learning Algorithms for Segmentation of Acute Infarcts on Non–Contrast Material–enhanced CT Scans of the Brain Using Simulated Lesions is a dataset published in Radiology Artificial Intelligence (2021). On theSindex it has a DataRank of 0.430, placing it in the top 43.3% of the data-sharing corpus. It has been cited 8 times, with 7 citing works in its 1-hop citation network.
Ranks in the top 43% for downstream scientific impact
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
0.330
From this paper's citation signal
Citation Network Contribution
0.100
From 4 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 7 citers.
National Institutes of Health
Grant: R01NS075209
National Institutes of Health
Grant: 5R01NS075209-05
CTP to predict Response to recanalization in Ischemic Stroke Project (CRISP)
FWCI
0.85
Citation Percentile
0.7%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals