Identification of breast cancer patients with pathologic complete response in the breast after neoadjuvant systemic treatment by an intelligent vacuum-assisted biopsy is a research paper published in European Journal of Cancer (2020). On theSindex it has a DataRank of 1.9. It has been cited 70 times, with 45 citing works in its 1-hop citation network.
Scored on demand from live citation data
Linked data & code
Repositories this paper deposited data in (declared in PubMed).
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
0.639
From this paper's citation signal
Citation Network Contribution
1.3
From 33 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 45 citers.
Cancer Center Support Grant from the National Institutes of Health
Grant: CA16672
NIH P30
Grant: CA016672
German German Research Foundation
Grant: GZ:HE 6824/5-1
Seoul National University Hospital Research Fund
Grant: 30-2016-0250
Institute for Information and Communications Technology Promotion (IITP) grant funded by the Korea government
Grant: 2018-0-00861
FWCI
3.25
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Additional file 1 of Machine learning in medicine: a practical introduction to techniques for data pre-processing, hyperparameter tuning, and model comparison
Additional file 1 of Machine learning in medicine: a practical introduction to techniques for data pre-processing, hyperparameter tuning, and model comparison