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Derivation of a high-resolution CT-based, semi-automated radiographic score in tuberculosis and its relationship to bacillary load and antitubercular therapy

European Respiratory Journal(2023)10.1183/13993003.00600-2023Source: DataRank Database

Derivation of a high-resolution CT-based, semi-automated radiographic score in tuberculosis and its relationship to bacillary load and antitubercular therapy is a research paper published in European Respiratory Journal (2023). On theSindex it has a DataRank of 0. It has been cited 1 time.

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0DataRank · unranked

Scored on demand from live citation data

Open Access1 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (14 grants)Impact (FWCI 0.17)OA: greenTopics (35)IDs (PubMed, PMC, OpenAlex)SDGs (1)

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 (9)

Elsa Du Bruyn ORCID,Grace Hyun J. Kim ORCID,Irene Da Costa ORCID,Jihey Lee,Alan Sher ORCID

Live enrichment

PubMed:37678952 PMC:PMC7615118 OpenAlex:https://openalex.org/W4386525437

European and Developing Countries Clinical Trials Partnership

Grant: RIA2017T-2004 and TMA2017SF-1951/TB-Spec

National Institutes of Health

Grant: U01AI115940 and R21AI148027

Wellcome Trust

Grant: FC00110218

Cancer Research UK

Grant: FC001218

European & Developing Countries Clinical Trials Partnership (EDCTP)

Grant: RIA2017T-2004

NIAID NIH HHS

Grant: U01 AI115940

European & Developing Countries Clinical Trials Partnership (EDCTP)

Grant: TMA2017SF-1951

Wellcome Trust

Grant: 203135

Centre for Infectious Diseases Research in Africa (CIDRI-Africa)

The Francis Crick Institute

Grant: CC2112

NIAID NIH HHS

Grant: R21 AI148027

National Institutes of Health

Grant: 5U01AI115940-04

Inflammatory determinants of disease severity and treatment outcome in TB patients

National Institutes of Health

Grant: 1R21AI148027-01

Contribution of the CD153/CD30 axis to Mycobacterium tuberculosis control in humans

Wellcome Trust

FWCI

0.17

Citation Percentile

0.5%

Citation Trend

2025

greenLicense: cc-by

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC7615118/pdf/EMS187687.pdf

GREENhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7615118

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC7615118/pdf/EMS187687.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1183/13993003.00600-2023

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/7615118

Fields of Study

Tuberculosis Research and EpidemiologyInfectious Diseases and TuberculosisMycobacterium research and diagnosisMedicine0303 health sciences03 medical and health sciencesHumansBacillusTuberculosisAntitubercular AgentsTomography, X-Ray Computed

MeSH Terms

Antitubercular AgentsBacillusHumansTomography, X-Ray ComputedTuberculosis

Keywords

TuberculosisMycobacterium tuberculosisMedicineRadiographyMonocyteResolution (logic)Mycobacterium tuberculosis complexRadiologyInternal medicinePathologyArtificial intelligenceComputer science616Antitubercular Agents610HumansBacillusTomography, X-Ray ComputedArticle

Sustainable Development Goals

SDG 0: Good health and well-being