Placenta accreta spectrum and hysterectomy prediction using MRI radiomic features is a research paper published in Medical Imaging 2022: Computer-Aided Diagnosis (2022). On theSindex it has a DataRank of 0.475. It has been cited 8 times, with 7 citing works in its 1-hop citation network.
Scored on demand from live citation data
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
0.146
From 5 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.
NHLBI NIH HHS
Grant: R01 HL140325
NICHD NIH HHS
Grant: K25 HD104004
NCI NIH HHS
Grant: R01 CA156775
NCI NIH HHS
Grant: R01 CA204254
NCI NIH HHS
Grant: R21 CA231911
National Institutes of Health
Grant: 7R01CA156775-07
MOLECULAR IMAGING DIRECTED, 3D ULTRASOUND-GUIDED, BIOPSY SYSTEM
National Institutes of Health
Grant: 5R01HL140325-04
Image-guided Intravascular Robotic System for Mitral Valve Repair and Implants
National Institutes of Health
Grant: 5R21CA231911-02
STAN-CT: Standardization and Normalization of CT images for Lung Cancer Patients
Fields of Study
Keywords