AI-based prognostic imaging biomarkers for precision neuro-oncology: the ReSPOND consortium is a dataset published in Neuro-Oncology (2020). On theSindex it has a DataRank of 1.2, placing it in the top 17.4% of the data-sharing corpus. It has been cited 59 times, with 26 citing works in its 1-hop citation network.
Ranks in the top 17% 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
0.614
From this paper's citation signal
Citation Network Contribution
0.563
From 20 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 26 citers.
Penn Center for Precision Medicine
Grant: PI18/01062
Sidney Kimmel Cancer Center
Grant: P30CA056036
Sidney Kimmel Cancer Center
Grant: WT 203148/Z/16/Z
National Institutes of Health
Grant: R01NS042645
National Institutes of Health
Grant: U24CA189523–01A
Wellcome Trust
Grant: 203148
King's College London Medical Engineering Centre of Research Excellence
National Institutes of Health
Grant: 3P30CA056036-22S1
Strengthening Community Engagement in Colorectal Cancer Screening and Clinical Trial Enrollment Through a Community Health Educator
National Institutes of Health
Grant: 7R01NS042645-02
Modeling/Estimating brain deformation in tumor patients
FWCI
4.27
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords