Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

The COVID-19 Drug and Gene Set Library

Patterns(2020)10.1016/j.patter.2020.100090Source: DataRank Database

The COVID-19 Drug and Gene Set Library is a research paper published in Patterns (2020). On theSindex it has a DataRank of 0.668. It has been cited 85 times.

N/A

0.668DataRank · unranked

Scored on demand from live citation data

Open Access85 citations

Free full text

Cite:

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 (9 grants)Impact (FWCI 1.91)OA: goldTopics (33)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 (0/3)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.668

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.

Learn more about DataRank methodology →

Authors (14)

Daniel Stein,Daniel J. B. Clarke ORCID,Eryk Kropiwnicki ORCID,Kathleen M. Jagodnik ORCID,Alon Bartal ORCID

Live enrichment

PubMed:32838343 OpenAlex:https://openalex.org/W3043927884

National Institutes of Health

Grant: U54HL127624

National Institutes of Health

Grant: U24CA224260

National Institutes of Health

Grant: U24AA025479

National Institutes of Health

Grant: F32AA028148

National Institutes of Health

Grant: 5U24CA224260-05

Knowledge Management Center for Illuminating the Druggable Genome

National Institutes of Health

Grant: 5U54HL127624-02

Data Coordination and Integration Center for LINCS-BD2K

National Institutes of Health

Grant: 1F32AA028148-01

Transcriptome-guided diagnosis and therapy for alcohol use disorder

National Institutes of Health

Grant: 5U24AA025479-03

Integrative Neuroscience Initiative on Alcoholism

NHLBI NIH HHS

Grant: T32 HL007824

FWCI

1.91

Citation Percentile

0.9%

Citation Trend

2020

2021

2022

2023

2024

2025

goldLicense: cc-by-nc-nd

journalhttps://doi.org/10.1016/j.patter.2020.100090

publisherhttps://doi.org/10.1016/j.patter.2020.100090

publisherhttps://api.elsevier.com/content/article/PII:S2666389920301185?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2666389920301185?httpAccept=text/plain

repositoryhttps://pubmed.ncbi.nlm.nih.gov/32838343

Fields of Study

SARS-CoV-2 and COVID-19 ResearchComputational Drug Discovery MethodsCRISPR and Genetic Engineering0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

Drug repositioningRepurposingCoronavirus disease 2019 (COVID-19)DrugSet (abstract data type)Drug discoveryComputer scienceSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Computational biologyDownloadMedicineWorld Wide WebBioinformaticsBiologyPharmacologygene set enrichment analysisSARS-CoV-2COVID-19drugsArticleCoronavirusQA76.75-76.765drug set enrichment analysisSíndrome respiratorio agudo gravecrowdsourcingComputer softwareDSML 3: Development/Pre-production: Data science output has been rolled out/validated across multiple domains/problems

Sustainable Development Goals

SDG 3: 3. Good health