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Causal inference can lead us to modifiable mechanisms and informative archetypes in sepsis

Intensive Care Medicine(2024)10.1007/s00134-024-07665-4Source: DataRank Database

Causal inference can lead us to modifiable mechanisms and informative archetypes in sepsis is a research paper published in Intensive Care Medicine (2024). On theSindex it has a DataRank of 0.396. It has been cited 13 times.

N/A

0.396DataRank · unranked

Scored on demand from live citation data

Open Access13 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (7 grants)Impact (FWCI 3.68)OA: hybridTopics (29)IDs (PubMed, PMC, OpenAlex)

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 100%Citation Network 0%

Base Score Contribution

0.396

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

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Authors (21)

Derek C. Angus ORCID,Katie L. Burnham ORCID,Thierry Calandra ORCID,Carolyn S. Calfee ORCID,Alex Gutteridge ORCID

Live enrichment

PubMed:39432104 PMC:PMC7616750 OpenAlex:https://openalex.org/W4403584875

NIGMS NIH HHS

Grant: R35 GM119519

Wellcome Trust

Grant: 223164/Z/21/Z

Wellcome Trust

Grant: 223164

Translational genomics in critical care medicine.

Wellcome Trust

Grant: 206194

Wellcome Trust Sanger Institute - generic account for deposition of all core- funded research papers.

Wellcome Trust

Grant: 220540

Wellcome Sanger Institute Quinquennial Review 2021-2026

Canadian Institutes of Health Research

Grant: unidentified

unidentified

International Sepsis Forum

FWCI

3.68

Citation Percentile

0.9%

Citation Trend

2025

2026

hybridLicense: cc-by

journalhttps://doi.org/10.1007/s00134-024-07665-4

publisherhttps://doi.org/10.1007/s00134-024-07665-4

publisherhttps://link.springer.com/content/pdf/10.1007/s00134-024-07665-4.pdf

publisherhttps://link.springer.com/article/10.1007/s00134-024-07665-4/fulltext.html

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39432104

Fields of Study

Sepsis Diagnosis and TreatmentMachine Learning in HealthcareVibrio bacteria research studies

MeSH Terms

HumansCausalitySepsis

Keywords

MedicinePain medicineAnesthesiologyIntensive care medicineInferenceCausal inferenceSepsisLead (geology)MEDLINERisk analysis (engineering)Data scienceArtificial intelligenceInternal medicineComputer sciencePathologyGeneticsStratificationtrialsMachine LearningCausalityHumans; Sepsis; Causality; Causal inference; Genetics; Machine learning; Stratification; TrialsHumansArticle