Characterizing Macrophages Diversity in COVID-19 Patients Using Deep Learning is a research paper published in Genes (2022). On theSindex it has a DataRank of 0.274. It has been cited 5 times, with 3 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.
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Base Score Contribution
0.269
From this paper's citation signal
Citation Network Contribution
5.36 × 10⁻³
From 1 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 3 citers.
National Institutes of Health
Grant: 3R01CA124332-13A1S1
Regulation of KSHV replication by N6-methyladenosine (m6A) - Diversity Supplement
National Institutes of Health
Grant: 2051113
REU Site: Artificial Intelligence Powered Robotics in 5G Network
National Institutes of Health
Grant: RP160732
National Institutes of Health
Grant: RP190346
NCI NIH HHS
Grant: R01 CA124332
FWCI
0.31
Citation Percentile
0.5%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals