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Optimizing use of multi-antibody assays for Lyme disease diagnosis: A bioinformatic approach

PLoS ONE(2021)10.1371/journal.pone.0253514Source: DataRank Database

Optimizing use of multi-antibody assays for Lyme disease diagnosis: A bioinformatic approach is a research paper published in PLoS ONE (2021). On theSindex it has a DataRank of 0. It has been cited 7 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access7 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)Impact (FWCI 0.86)OA: goldTopics (51)IDs (PubMed, PMC, OpenAlex)Annotations (1)SDGs (2)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (2)

Lisa Landsberg,Richard Porwancher ORCID

Live enrichment

PubMed:34499659 PMC:PMC8428682 OpenAlex:https://openalex.org/W3197324740

Office of Extramural Research, National Institutes of Health

Grant: 1R43AI069564-01

Improving Lyme disease diagnosis through bioinformatics

NIAID NIH HHS

Grant: R43 AI069564

National Institutes of Health

Grant: 3R43AI069564-01S1

Improving Lyme disease diagnosis through bioinformatics

FWCI

0.86

Citation Percentile

0.7%

Citation Trend

2022

2023

2024

2025

goldLicense: cc-by

journalhttps://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0253514&type=printable

publisherhttps://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0253514&type=printable

publisherhttps://dx.plos.org/10.1371/journal.pone.0253514

journalhttps://doi.org/10.1371/journal.pone.0253514

repositoryhttps://pubmed.ncbi.nlm.nih.gov/34499659

Fields of Study

Vector-borne infectious diseasesViral Infections and VectorsMosquito-borne diseases and control0301 basic medicine03 medical and health sciences0302 clinical medicineAntibodies, BacterialAntigens, BacterialBorrelia burgdorferiCase-Control StudiesComputational BiologyDiagnostic Tests, RoutineEarly DiagnosisHumansLogistic ModelsLyme DiseaseRetrospective StudiesSensitivity and Specificity

MeSH Terms

Antibodies, BacterialAntigens, BacterialDiagnostic Tests, RoutineHumansLyme DiseaseRetrospective StudiesSensitivity and SpecificityLogistic ModelsCase-Control StudiesComputational BiologyBorrelia burgdorferiEarly Diagnosis

Keywords

Lyme diseaseAntibodyComputational biologyVirologyMedicineImmunologyBiologyAntigens, BacterialDiagnostic Tests, RoutineScienceQRAntibodies, BacterialSensitivity and SpecificityEarly DiagnosisLogistic ModelsBorrelia burgdorferiCase-Control StudiesHumansResearch ArticleRetrospective Studies

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Good health and well-being