COVID-19-CT-CXR: A Freely Accessible and Weakly Labeled Chest X-Ray and CT Image Collection on COVID-19 From Biomedical Literature is a dataset published in IEEE Transactions on Big Data (2020). On theSindex it has a DataRank of 3.6, placing it in the top 6.1% of the data-sharing corpus. It has been cited 89 times, with 87 citing works in its 1-hop citation network.
Ranks in the top 6% for downstream scientific impact
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
0.675
From this paper's citation signal
Citation Network Contribution
3.0
From 65 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 87 citers.
NLM
Grant: 4R00LM013001
NLM NIH HHS
Grant: R00 LM013001
National Institutes of Health
Grant: 4R00LM013001-02
A framework to enhance radiology structured report by invoking NLP and DL: Models and Applications
National Institutes of Health
Grant: 5R00LM013001-04
A framework to enhance radiology structured report by invoking NLP and DL: Models and Applications
Google Cloud
Intramural Research Programs of the National Library of Medicine
National Institutes of Health
FWCI
7.12
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals