Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor-Infiltrating Lymphocytes in Invasive Breast Cancer is a research paper published in American Journal Of Pathology (2020). On theSindex it has a DataRank of 3.5. It has been cited 117 times, with 91 citing works in its 1-hop citation network.
Scored on demand from live citation data
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
0.716
From this paper's citation signal
Citation Network Contribution
2.8
From 76 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 91 citers.
U.S. National Library of Medicine
Grant: R01LM011119-01
National Science Foundation
Grant: ACI-1445606
National Science Foundation
Grant: ACI-1548562
National Cancer Institute
Grant: 1U24CA180924-01A1
National Cancer Institute
Grant: 1UG3CA225021-01
National Cancer Institute
Grant: 3U24CA215109-02
NLM NIH HHS
Grant: R01 LM011119
NCI NIH HHS
Grant: U24 CA215109
NCI NIH HHS
Grant: UG3 CA225021
NIGMS NIH HHS
Grant: T32 GM008444
NCI NIH HHS
Grant: U24 CA180924
NLM NIH HHS
Grant: R01 LM009239
National Institutes of Health
MeSH Terms