Prognostic risk stratification of gliomas using deep learning in digital pathology images is a dataset published in Neuro-Oncology Advances (2022). On theSindex it has a DataRank of 1.0, placing it in the top 19.3% of the data-sharing corpus. It has been cited 22 times, with 21 citing works in its 1-hop citation network.
Ranks in the top 19% 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
0.470
From this paper's citation signal
Citation Network Contribution
0.578
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 21 citers.
Brain Tumor SPORE Developmental Research Project
Grant: 5P50CA097257-18
Brain Tumor SPORE Grant
NCI NIH HHS
Grant: P50 CA097257
NCI
NIH
FWCI
1.85
Citation Percentile
0.9%
Influential Citations
1
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals