Variant analysis of 1,040 SARS-CoV-2 genomes is a dataset published in PLoS ONE (2020). On theSindex it has a DataRank of 3.1, placing it in the top 7.2% of the data-sharing corpus. It has been cited 84 times, with 81 citing works in its 1-hop citation network.
Ranks in the top 7% for downstream scientific impact
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
0.666
From this paper's citation signal
Citation Network Contribution
2.4
From 55 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 81 citers.
National Institute of General Medical Sciences
Grant: P20GM103436
National Institutes of Health
Grant: 2P20GM103436-19
IDeA Networks of Biomedical Research Excellence in Kentucky
FWCI
1.98
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Additional file 3 of Analysing the impact of the two most common SARS-CoV-2 nucleocapsid protein variants on interactions with membrane protein in silico
Additional file 3 of Analysing the impact of the two most common SARS-CoV-2 nucleocapsid protein variants on interactions with membrane protein in silico
Additional file 4 of Analysing the impact of the two most common SARS-CoV-2 nucleocapsid protein variants on interactions with membrane protein in silico
Additional file 4 of Analysing the impact of the two most common SARS-CoV-2 nucleocapsid protein variants on interactions with membrane protein in silico
Additional file 1 of NGS data vectorization, clustering, and finding key codons in SARS-CoV-2 variations
Additional file 1 of NGS data vectorization, clustering, and finding key codons in SARS-CoV-2 variations