Comparison of segmentation-free and segmentation-dependent computer-aided diagnosis of breast masses on a public mammography dataset is a dataset published in Journal of Biomedical Informatics (2020). On theSindex it has a DataRank of 0.884, placing it in the top 22.9% of the data-sharing corpus. It has been cited 19 times, with 18 citing works in its 1-hop citation network.
Ranks in the top 23% for downstream scientific impact
Linked data & code
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
0.449
From this paper's citation signal
Citation Network Contribution
0.434
From 11 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 18 citers.
Defense Advanced Research Projects Agency
Grant: FA86501827882
Defense Advanced Research Projects Agency
Grant: FA86501827865
National Institutes of Health
Grant: U01-CA242879
National Institutes of Health
Grant: U54EB020405
Office of Naval Research
Grant: N000141712266
National Science Foundation
Grant: CCF1563078
National Science Foundation
Grant: 1937301
RTML: Large: Continuous Adaptation for Decision Streams
National Science Foundation
Grant: CCF1763315
NCI NIH HHS
Grant: U01 CA242879
NICHD NIH HHS
Grant: R01 HD086325
National Institutes of Health
Grant: 5R01HD086325-03
Extracellular vesicles and their ncRNA cargo as markers of trophoblast injury
Intel Corporation
Blanche Moore Foundation
Microsoft
BASF
Xilinx
International Business Machines Corporation
National Cancer Institute
FWCI
1.63
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Curated Breast Imaging Subset of Digital Database for Screening Mammography (CBIS-DDSM)