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

Integration of multi-modal measurements identifies critical mechanisms of tuberculosis drug action

Cell Systems(2025)10.1016/j.cels.2025.101348Source: DataRank Database

Integration of multi-modal measurements identifies critical mechanisms of tuberculosis drug action is a research paper published in Cell Systems (2025). On theSindex it has a DataRank of 0.208. It has been cited 3 times.

N/A

0.208DataRank · unranked

Scored on demand from live citation data

Open Access3 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 (8 grants)Impact (FWCI 2.39)OA: hybridTopics (21)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

0.208

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 (15)

A. Paul Alivisatos ORCID,Trever C. Smith ORCID,Nhi Van ORCID,Vijay Soni ORCID,Joshua B. Wallach

Live enrichment

PubMed:40738114 OpenAlex:https://openalex.org/W4412708946

National Institute of Allergy and Infectious Diseases Division of Microbiology and Infectious Diseases

Grant: T32AI007422

Gates Foundation

Grant: INV-007519

Gates Foundation

Grant: INV-027276

Gates Foundation

Grant: INV-004761

Gates Foundation

Grant: INV-010515

Gates Foundation

Grant: INV-027106

GlaxoSmithKline

Grant: GSK-839

GlaxoSmithKline

Grant: GSK-286

FWCI

2.39

Citation Percentile

0.9%

Citation Trend

2026

hybridLicense: cc-by

journalhttps://doi.org/10.1016/j.cels.2025.101348

HYBRIDhttps://doi.org/10.1016/j.cels.2025.101348

publisherhttps://doi.org/10.1016/j.cels.2025.101348

publisherhttps://api.elsevier.com/content/article/PII:S2405471225001814?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2405471225001814?httpAccept=text/plain

Fields of Study

Tuberculosis Research and EpidemiologyImage Processing Techniques and ApplicationsCell Image Analysis TechniquesMedicineComputer Science

MeSH Terms

Antitubercular AgentsHumansMycobacterium tuberculosisTuberculosisComputational Biology

Keywords

Action (physics)Drug actionDrugComputer scienceTuberculosisComputational biologyBiologyRisk analysis (engineering)MedicinePharmacologyPhysics

Sustainable Development Goals

SDG 0: Good health and well-being