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An actionable annotation scoring framework for gas chromatography-high-resolution mass spectrometry

Exposome(2022)10.1093/exposome/osac007Source: DataRank Database

An actionable annotation scoring framework for gas chromatography-high-resolution mass spectrometry is a research paper published in Exposome (2022). On theSindex it has a DataRank of 0. It has been cited 80 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access80 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (3 grants)Impact (FWCI 5.11)OA: hybridTopics (17)IDs (PubMed, OpenAlex)

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 (22)

Hongyu Xie ORCID,Elliott J. Price ORCID,Elizabeth Z. Lin ORCID,Katherine E. Manz ORCID,Paul Stelben

Live enrichment

PubMed:36483216 OpenAlex:https://openalex.org/W4293051781

European Union’s Horizon 2020 Research and Innovation Programme

Grant: 857560

NIEHS NIH HHS

Grant: R01 ES032831

NCI NIH HHS

Grant: T32 CA250803

FWCI

5.11

Citation Percentile

1.0%

Citation Trend

2023

2024

2025

2026

hybridLicense: cc-by

journalhttps://academic.oup.com/exposome/advance-article-pdf/doi/10.1093/exposome/osac007/45532271/osac007.pdf

publisherhttps://academic.oup.com/exposome/advance-article-pdf/doi/10.1093/exposome/osac007/45532271/osac007.pdf

publisherhttps://academic.oup.com/exposome/article-pdf/2/1/osac007/47576827/osac007.pdf

journalhttps://doi.org/10.1093/exposome/osac007

repositoryhttps://pubmed.ncbi.nlm.nih.gov/36483216

Fields of Study

Metabolomics and Mass Spectrometry StudiesAdvanced Chemical Sensor TechnologiesAnalytical Chemistry and Chromatography

Keywords

Mass spectrometryAnnotationChromatographyGas chromatography–mass spectrometryGas chromatographyResolution (logic)ChemistryComputer scienceArtificial intelligencechemicalsconfidence scaleexposomicsgas chromatography (GC)high-resolution mass spectrometry (HRMS)