APRANK: Computational Prioritization of Antigenic Proteins and Peptides From Complete Pathogen Proteomes is a research paper published in Frontiers in Immunology (2021). On theSindex it has a DataRank of 0.533. It has been cited 11 times, with 9 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
0.373
From this paper's citation signal
Citation Network Contribution
0.160
From 7 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 9 citers.
National Institute of Allergy and Infectious Diseases
Grant: AI123070
Agencia Nacional de Promoción Científica y Tecnológica
Grant: PICT-2013-1193
Agencia Nacional de Promoción Científica y Tecnológica
Grant: PICT-2017-0175
NIAID NIH HHS
Grant: R01 AI123070
National Institutes of Health
Grant: 1R01AI123070-01
HIGH-THROUGHPUT EPITOPE DISCOVERY: USE OF NEXT-GENERATION PEPTIDE CHIPS FOR FAST IDENTIFICATION AND FINE MAPPING OF DIAGNOSTIC AND PROGNOSTIC MARKERS FOR CHAGAS DISEASE
FWCI
0.59
Citation Percentile
0.6%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Regression models generated by APRANK (computational prioritization of antigenic proteins and peptides from complete pathogen proteomes)