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PGxQA: A Resource for Evaluating LLM Performance for Pharmacogenomic QA Tasks

PubMed(2024)10.1142/9789819807024_0017Source: DataRank Database

PGxQA: A Resource for Evaluating LLM Performance for Pharmacogenomic QA Tasks is a research paper published in PubMed (2024). On theSindex it has a DataRank of 0.418. It has been cited 6 times, with 7 citing works in its 1-hop citation network.

N/A

0.418DataRank · unranked

Scored on demand from live citation data

Open Access6 citations · 7 citing works in its network

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Linked data & code

refsnp doi

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (6 grants)Impact (FWCI 10.25)OA: goldTopics (14)IDs (PubMed, PMC, OpenAlex)Annotations (2)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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DataRank Breakdown

Base Score 70%Citation Network 30%

Base Score Contribution

0.292

From this paper's citation signal

Citation Network Contribution

0.126

From 5 citing papers with measurable signal

Learn more about DataRank methodology →

Top 5 citers driving the network score

Ranked by each citer's contribution to N(p) — log1p(C_q) divided by its reference count — out of 7 citers.

Benchmarking large language models for replication of guideline-based PGx recommendations
The Pharmacogenomics Journal20254 citations25 referencesContributes 0.064
Artificial Intelligence and Multi-Omics in Pharmacogenomics: A New Era of Precision Medicine
Mayo Clinic Proceedings Digital Health202545 citations82 referencesContributes 0.047
PILs of Knowledge: A Synthetic Benchmark for Evaluating Question Answering Systems in Healthcare
20253 citations50 referencesContributes 0.028
A systematic review on the generative AI applications in human medical genetics
Frontiers in Genetics20261 citations148 referencesContributes 0.005
A systematic review on the generative AI applications in human medical genetics
Frontiers in Genetics20261 citations148 referencesContributes 0.005

Authors (12)

Rasika Venkatesh ORCID,Yidi Huang ORCID,Rachit Kumar ORCID,Sony Tuteja ORCID,Katrin Sangkuhl ORCID

Live enrichment

PubMed:39670373 PMC:PMC11734741 OpenAlex:https://openalex.org/W4404622579

NHGRI NIH HHS

Grant: F31 HG013246

NHLBI NIH HHS

Grant: K23 HL143161

NHGRI NIH HHS

Grant: T32 HG000046

NHGRI NIH HHS

Grant: U24 HG013077

NCATS NIH HHS

Grant: UL1 TR001878

NHGRI NIH HHS

Grant: U24 HG010615

FWCI

10.25

Citation Percentile

1.0%

Citation Trend

2025

2026

goldLicense: cc-by-nc

https://doi.org/10.1142/9789819807024_0017

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39670373

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11734741

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11734741/pdf/nihms-2038210.pdf

Fields of Study

Gene expression and cancer classificationBiomedical Text Mining and OntologiesGenetics, Bioinformatics, and Biomedical Research

MeSH Terms

HumansPharmacogeneticsProgramming LanguagesComputational BiologyPrecision Medicine

Keywords

Computer scienceResource (disambiguation)PharmacogenomicsMedicineComputer networkPharmacology

Sustainable Development Goals

SDG 0: Zero hunger

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PGxQA: A Resource for Evaluating LLM Performance for Pharmacogenomic QA Tasks

FAIR Checklist

DataRank Breakdown

Top 5 citers driving the network score

Authors (12)

Funding (6 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)

Related Papers (10)