Improved Classification of Benign and Malignant Breast Lesions Using Deep Feature Maximum Intensity Projection MRI in Breast Cancer Diagnosis Using Dynamic Contrast-enhanced MRI is a dataset published in Radiology Artificial Intelligence (2021). On theSindex it has a DataRank of 2.1, placing it in the top 9.9% of the data-sharing corpus. It has been cited 57 times, with 50 citing works in its 1-hop citation network.
Ranks in the top 10% 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
0.609
From this paper's citation signal
Citation Network Contribution
1.5
From 39 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 50 citers.
National Institutes of Health Quantitative Imaging Network
Grant: U01CA195564
National Cancer Institute
Grant: R15CA227948
National Institutes of Health
Grant: S10 OD025081
National Institutes of Health
Grant: 5U01CA195564-02
Quantitative Image Analysis for Assessing Response to Breast Cancer Therapy
National Institutes of Health
Grant: 1S10OD025081-01
Protected Radiomics Analysis Commons for Deep Learning in Biomedical Discovery
National Institutes of Health
Grant: 1R15CA227948-01A1
Assessment of Repeatability and Robustness of Radiomics in Breast Cancer Imaging
American Association of Physicists in Medicine
Radiological Society of North America
FWCI
5.08
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals