VODKA2: a fast and accurate method to detect non-standard viral genomes from large RNA-seq data sets is a research paper published in RNA (2023). On theSindex it has a DataRank of 0.464. It has been cited 21 times.
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DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
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Base Score Contribution
0.464
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 →National Institutes of Health, National Institute of Allergy and Infectious Diseases
Grant: AI137062
National Institutes of Health, National Institute of Allergy and Infectious Diseases
Grant: AI134862
National Institutes of Health, National Institute of Allergy and Infectious Diseases
Grant: T32-007317
NSF-GRFP
Grant: DGE2139839
NIAID NIH HHS
Grant: R01 AI134862
Novo Nordisk Fonden
Grant: NNF22SA0082041
NIAID NIH HHS
Grant: R01 AI137062
FWCI
6.29
Citation Percentile
1.0%
Citation Trend
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