Self-supervised deep learning for highly efficient spatial immunophenotyping is a research paper published in EBioMedicine (2023). On theSindex it has a DataRank of 0.330. It has been cited 8 times.
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
0.330
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →Children's Cancer and Leukaemia Group
Grant: CCLGA201906
Cancer Research UK
Grant: CRUK C45982/A21808
Breast Cancer Now
Grant: 2015NovPR638
CRUK
Grant: C25858/A28592
CRUK
Grant: C56167/A29363
CRUK
Grant: C9203/A28770
National Institutes of Health
Grant: BC132057
National Institutes of Health
Grant: R01 CA185138
National Institutes of Health
Grant: U54 CA217376
European Commission
Grant: H2020-MSCA-ITN-2019
Rosetrees Trust
Grant: A2714
Cancer Research UK
Grant: 21808
UCLH Biomedical Research Centre
Royal Marsden NHS Foundation Trust
CDMRP
University College London
Breast Cancer Now
FWCI
0.74
Citation Percentile
0.7%
Citation Trend
Fields of Study
MeSH Terms
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