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The Surgical Clerkship in the COVID Era: A Natural Language Processing and Thematic Analysis

Journal of Surgical Research(2024)10.1016/j.jss.2024.04.016Source: DataRank Database

The Surgical Clerkship in the COVID Era: A Natural Language Processing and Thematic Analysis is a research paper published in Journal of Surgical Research (2024). On theSindex it has a DataRank of 0. It has been cited 3 times.

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0DataRank · unranked

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Open Access3 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (4 grants)Impact (FWCI 1.92)OA: greenTopics (33)IDs (PubMed, PMC, OpenAlex)Annotations (1)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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Authors (8)

Joseph M. Ladowski ORCID,Amanda L. Nash ORCID,Kristen E. Rhodin ORCID,Elisabeth T. Tracy ORCID,John Migaly

Live enrichment

PubMed:38759331 PMC:PMC11189731 OpenAlex:https://openalex.org/W4396948555

Duke Cancer Institute

Grant: P30 CA014236

National Institutes of Health

Grant: 1R38AI140297

NIAID NIH HHS

Grant: R38 AI140297

NIAID NIH HHS

Grant: F32 AI174651

FWCI

1.92

Citation Percentile

0.9%

Citation Trend

2024

2026

greenLicense: http://www.elsevier.com/open-access/userlicense/1.0/

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11189731/pdf/nihms-1989713.pdf

publisherhttps://api.elsevier.com/content/article/PII:S0022480424001859?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0022480424001859?httpAccept=text/plain

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11189731

Fields of Study

Diversity and Career in MedicineInnovations in Medical EducationCOVID-19 and Mental Health

MeSH Terms

COVID-19Clinical ClerkshipEducational MeasurementFemaleHumansMaleNatural Language ProcessingSurveys and QuestionnairesStudents, MedicalGeneral Surgery

Keywords

Coronavirus disease 2019 (COVID-19)Thematic mapThematic analysisSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakComputer scienceNatural (archaeology)VirologyMedicineHistoryInfectious disease (medical specialty)GeographySociologyCartographyPathologyDiseaseQualitative researchNatural Language ProcessingSurgery ClerkshipCovid-19

Sustainable Development Goals

SDG 0: Quality Education

The Surgical Clerkship in the COVID Era: A Natural Language Processing and Thematic Analysis

FAIR Checklist

Authors (8)

Funding (4 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)