Bacterial Artificial Chromosome Reverse Genetics Approaches for SARS-CoV-2 is a research paper published in Methods in molecular biology (2023). On theSindex it has a DataRank of 0.104. It has been cited 1 time.
Scored on demand from live citation data
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
0.104
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 →NIAID NIH HHS
Grant: U19 AI171110
NIAID NIH HHS
Grant: R01 AI142985
NIAID NIH HHS
Grant: U19 AI171443
NIAID NIH HHS
Grant: R01 AI145332
NIAID NIH HHS
Grant: R01 AI161363
NIAID NIH HHS
Grant: U19 AI171403
NIH HHS
Grant: 75N93021C00014
NIAID NIH HHS
Grant: R43 AI165089
NIAID NIH HHS
Grant: R01 AI141607
NIAID NIH HHS
Grant: R01 AI161175
FWCI
1.49
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals