Anúncio
relacionado a: pubmed medline meshExpertise On Every Level To Craft Science & Technology Solutions In Life Science. Solving Problems In Life Science By Collaborating With the Global Scientific Community.
- Sign In
Sigma® Life Science
View contract pricing, get quotes
- Sigma® Life Science
Cell culture, antibodies
and more biological products
- Sign In
Resultado da Busca
MeSH (Medical Subject Headings) is the NLM controlled vocabulary thesaurus used for indexing articles for PubMed.
- Learn About Mesh
- Related Mesh Efforts
- User Input and Suggestions
- Archived Publications
MeSH VocabularySearch and Retrieval using MeSHPubMed® comprises more than 37 million citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full text content from PubMed Central and publisher web sites.
Background: A thorough understanding of the National Library of Medicine's Medical Subject Headings can increase the efficiency and precision of one's literature searching skills using the Medline database. Aims: To describe how to use the Medical Subject Headings to conduct a search for literature, and how to write up a description of the ...
- N. Baumann
- 2016
4 de dez. de 2023 · The MeSH vocabulary is designed for use by NLM for indexing and searching of the MEDLINE database of journal citations and other data. This enables retrieval systems, such as NLM's PubMed, to provide subject searching of the data.
28 de fev. de 2024 · MeSH (Medical Subject Headings) is the NLM controlled vocabulary thesaurus used for indexing citations in MEDLINE and PubMed. When searching PubMed, and limiting the search to MeSH, only MEDLINE citations will be retrieved.
28 de nov. de 2023 · The Medical Subject Headings (MeSH®) thesaurus is a controlled vocabulary produced by the National Library of Medicine and used for indexing, cataloging, and searching for biomedical and health-related information and documents. MeSH includes the subject descriptors appearing in MEDLINE®/PubMed® and other NLM databases.