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Using Bottleneck Adapters to Identify Cancer in Clinical Notes under Low-Resource Constraints

(2023)10.18653/v1/2023.bionlp-1.5Source: DataRank Database

Using Bottleneck Adapters to Identify Cancer in Clinical Notes under Low-Resource Constraints is a research paper (2023). On theSindex it has a DataRank of 0.385. It has been cited 12 times.

N/A

0.385DataRank · unranked

Scored on demand from live citation data

Open Access12 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (12 grants)Impact (FWCI 15.69)OA: goldTopics (20)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)

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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.385

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.

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Authors (8)

Hannah Jauncey,Mohammadmahdi Nouriborji,Vinod Kumar ORCID,Bronner P. Gonalves,Christiana Kartsonaki ORCID

Live enrichment

PubMed:19276002 OpenAlex:https://openalex.org/W4385571400

Health Research Board

Grant: unidentified

unidentified

Wellcome Trust

Grant: 222048

Enabling ISARIC Clinical Characterisation Protocol (CCP) roll out in LMICs

Wellcome Trust

Grant: 220757

Malawi-Liverpool-Wellcome Trust COVID-19 Epidemic Preparedness

Wellcome Trust

Grant: 205228

Understanding cross-reactive immunity to Japanese encephalitis virus

European Commission

Grant: 965313

European Clinical Research Alliance on Infectious Diseases

Wellcome Trust

Grant: 222410

IDDO: FAIR, equitable and sustainable data platform for infectious diseases

European Commission

Grant: 101003589

Rapid European SARS-CoV-2 Emergency research Response

The Research Council of Norway

Grant: 312780

Norwegian SARS-CoV-2 study – Virological, clinical and immunological characterisation of inpatients during the COVID-19 outbreak

Wellcome Trust

Grant: 215091

ISARIC

Wellcome Trust

Grant: 225288

The ISARIC data platform: Optimizing data-driven pandemic preparedness and response

UK Research and Innovation

Grant: MC_PC_19059

ISARIC - Coronavirus Clinical Characterisation Consortium (ISARIC-4C)

Australian Research Council (ARC)

Grant: CE170100009

ARC Centres of Excellence - Grant ID: CE170100009

FWCI

15.69

Citation Percentile

1.0%

Citation Trend

2023

2024

2025

2026

goldLicense: cc-by

https://aclanthology.org/2023.bionlp-1.5.pdf

https://doi.org/10.18653/v1/2023.bionlp-1.5

https://dx.doi.org/10.48550/arxiv.2210.09440

http://arxiv.org/abs/2210.09440

Fields of Study

Biomedical Text Mining and OntologiesMachine Learning in HealthcareTopic Modeling0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

BottleneckComputer scienceResource (disambiguation)Biomedical text miningNatural language processingText miningComputer networkEmbedded systemFOS: Computer and information sciencesComputer Science - Computation and LanguageArtificial Intelligence (cs.AI)Computer Science - Artificial IntelligenceI.2.768T50Computation and Language (cs.CL)

Sustainable Development Goals

SDG 0: Quality Education