Deep-sequencing of viral genomes from a large and diverse cohort of treatment-naive HIV-infected persons shows associations between intrahost genetic diversity and viral load is a research paper published in PLoS Computational Biology (2023). On theSindex it has a DataRank of 0.434. It has been cited 8 times, with 7 citing works in its 1-hop citation network.
Scored on demand from live citation data
Linked data & code
Repositories this paper deposited data in (declared in PubMed).
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Base Score Contribution
0.330
From this paper's citation signal
Citation Network Contribution
0.104
From 3 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 7 citers.
Danmarks Grundforskningsfond
Grant: 126
NIAID NIH HHS
Grant: UM1 AI120197
NIAID NIH HHS
Grant: U01 AI136780
NIAID NIH HHS
Grant: UM1 AI068641
National Institutes of Health
Grant: 5UM1AI068641-09
International Network for Strategic Initiatives in Global HIV Trials (INSIGHT)
National Institutes of Health
Grant: 1UM1AI120197-01
International Network for Strategic Initiatives in Global HIV Trials (INSIGHT): START
FWCI
0.98
Citation Percentile
0.7%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Deep-sequencing of viral genomes from treatment-naive HIV-infected persons shows positive association between intrahost genetic diversity and viral load