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WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking

PubMed(2024)10.52202/079017-1686Source: DataRank Database

WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking is a dataset published in PubMed (2024). On theSindex it has a DataRank of 0.141, placing it in the top 70.5% of the data-sharing corpus. It has been cited 1 time, with 1 citing works in its 1-hop citation network.

Top 70%percentile

0.141DataRank

Ranks in the top 70% for downstream scientific impact

Data paper Open Access1 citations · 1 citing works in its network

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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 (5 grants)OA: greenTopics (27)IDs (PubMed, 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 (1/3)

Dataset classification

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DataRank Breakdown

Base Score 74%Citation Network 26%

Base Score Contribution

0.104

From this paper's citation signal

Citation Network Contribution

0.0371

From 1 citing papers with measurable signal

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Top 1 citer driving the network score

Ranked by each citer's contribution to N(p) — log1p(C_q) divided by its reference count — out of 1 citer.

A distributional reinforcement learning model for optimal glucose control after cardiac surgery
npj Digital Medicine202510 citations55 referencesContributes 0.044

Authors (9)

Tyler Derr ORCID,Xin Wang ORCID,Rocco Moretti ORCID,Yu Wang ORCID,Jens Meiler ORCID

Live enrichment

PubMed:39606732 OpenAlex:https://openalex.org/W4404569109

National Science Foundation

Grant: 1763966

CHS: Medium: Collaborative Research: Designing Virtual Worlds for Children - A Developmental Study of How Children Act, Perceive, and Reason Spatially

National Institutes of Health

Grant: 5R01DA046138-04

Structural Determinants of Allosteric Modulation of Brain GPCRs

National Science Foundation

Grant: 2239881

CAREER: Harnessing the Positive Power of Negative Links for Network Analytics

National Institutes of Health

Grant: 3R01GM080403-03S1

Membrane Protein Structure Elucidation from sparse NMR data (KAMP)

National Institutes of Health

Grant: 5R01HL122010-08

Decrypting Variants of Uncertain Significance in Long-QT Syndrome

greenLicense: cc-by

repositoryhttps://arxiv.org/pdf/2411.09820

repositoryhttp://arxiv.org/abs/2411.09820

https://doi.org/10.52202/079017-1686

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39606732

Fields of Study

Computational Drug Discovery MethodsMachine Learning in Materials ScienceCell Image Analysis Techniques0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

BenchmarkingDrug discoveryComputer scienceData scienceData miningData curationData pre-processingVirtual screeningQuality (philosophy)Data collectionPreprocessorMachine learningArtificial intelligenceBioinformaticsFOS: Computer and information sciencesComputer Science - Machine LearningArtificial Intelligence (cs.AI)Quantitative Biology - BiomoleculesComputer Science - Artificial IntelligenceFOS: Biological sciencesBiomolecules (q-bio.BM)Machine Learning (cs.LG)

Sustainable Development Goals

SDG 0: Industry, innovation and infrastructure