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Mapping MAVE data for use in human genomics applications

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.06.20.545702Source: DataRank Database

Mapping MAVE data for use in human genomics applications is a dataset published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0.343, placing it in the top 51.1% of the data-sharing corpus. It has been cited 6 times, with 3 citing works in its 1-hop citation network.

Top 51%percentile

0.343DataRank

Ranks in the top 51% for downstream scientific impact

Data paper Open Access6 citations · 3 citing works in its network

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Linked data & code

uniprot

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 (16 grants)OA: greenTopics (23)IDs (PubMed, 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 (1/3)

Dataset classification

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DataRank Breakdown

Base Score 85%Citation Network 15%

Base Score Contribution

0.292

From this paper's citation signal

Citation Network Contribution

0.0515

From 3 citing papers with measurable signal

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Top 3 citers driving the network score

Ranked by each citer's contribution to N(p) — log1p(C_q) divided by its reference count — out of 3 citers.

An evolving understanding of multiple causal variants underlying genetic association signals
The American Journal of Human Genetics202516 citations73 referencesContributes 0.039
Clinical Genetics and Genomics for the Immunologist
Immunology and Allergy Clinics of North America20251 citations46 referencesContributes 0.015
The evolving genetic landscape of neuromuscular fetal akinesias
Journal of Neuromuscular Diseases20252 citations165 referencesContributes 0.007

Authors (19)

Estelle Y. Da ORCID,James Stevenson ORCID,Kori Kuzma,Anika Paul,Tierra R. Farris ORCID

Live enrichment

PubMed:38979347 OpenAlex:https://openalex.org/W4381856642

Wellcome Trust

Grant: WT223718/Z/21/Z

Wellcome Trust

Grant: WT222155/Z/20/Z

National Institutes of Health

Grant: 5U01CA242954-02

Eliminating variants of uncertain significance in BRCA1, BRCA2 and beyond

National Institutes of Health

Grant: 5U24HG009649-06

Baylor College of Medicine/Stanford University Clinical Genome Resource (CLINGEN)

Wellcome Trust

Grant: 223718

DECIPHER

Wellcome Trust

Grant: 222155

Ensembl: A Comprehensive Reference Resource for Genomics

National Institutes of Health

Grant: 5R35HG011949-04

Development and validation of a computable knowledge framework for genomic medicine

National Institutes of Health

Grant: 1UM1HG011969-01

The Center for Actionable Variant Analysis; measuring variant function at scale

National Institutes of Health

Grant: 5RM1HG010461-05

Center for the Multiplexed Assessment of Phenotype

European Commission

Grant: 825575

European Joint Programme on Rare Diseases

NHGRI NIH HHS

Grant: R35 HG011949

NHGRI NIH HHS

Grant: U24 HG009649

NHGRI NIH HHS

Grant: UM1 HG011969

NHGRI NIH HHS

Grant: RM1 HG010461

NCI NIH HHS

Grant: U01 CA242954

Wellcome Trust

greenLicense: cc-by

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2023/06/23/2023.06.20.545702.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2023.06.20.545702

repositoryhttps://doi.org/10.1101/2023.06.20.545702

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38979347

Fields of Study

Genomics and Phylogenetic StudiesGenomics and Rare DiseasesBioinformatics and Genomic Networks

Keywords

EnsemblGenomicsComputational biologyComputer scienceGenomeHuman Protein AtlasReference genomeHuman genomeBiologyInformation retrievalData miningData scienceGeneticsGeneArticledeep mutational scanningglobal alliance for genomics and healthmassively parallel reporter assaysmultiplexed assays of variant effectvariation representation specification

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Partnerships for the goals