Cited by 14Research, Science, and AcademiaAcademic Writing and PublishingResearch Data Management Practices

Ten simple rules to leverage large language models for getting grants

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Seckel, Elizabeth, Stephens, Brandi Y., Rodriguez, Fatima·2024·PLOS Computational Biology

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References 24 · Cited by 14

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Authors
Seckel, E., Stephens, B. Y., & Rodriguez, F.
Affiliations
Stanford Medicine (US)
Corresponding author
Seckel, Elizabeth
Venue
PLOS Computational Biology
Published
2024-03-01
Volume
20
Issue
3
Pages
e1011863
ISSN
  • 1553-734X (ISSN-L)
  • 1553-7358
OpenAlex
W4392361435
Cited by
14
References
24
Citations by year
2026: 5 · 2025: 7 · 2024: 2
FWCI
5.22
Type
journal article
Language
en
Open access
Locations
  • PLoS Computational Biology (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Funders
  • National Heart, Lung, and Blood Institute (1K01HL144607)
  • American Heart Association (20AMFDP35430002)
  • Doris Duke Charitable Foundation (2022051)
Topics
  • Social Sciences › Decision Sciences › Information Systems and Management › Research, Science, and Academia
  • Social Sciences › Arts and Humanities › History and Philosophy of Science › Academic Writing and Publishing
  • Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
Keywords
large language models, grant writing, research funding, AI-assisted writing
MeSH terms
Language

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