What are MeSH terms and how are they used here?

Medical Subject Headings (MeSH) are a controlled vocabulary used by PubMed for precise indexing. This skill provides the syntax to use MeSH tags like [mh] for more accurate search results.

Can I use this for programmatic API access?

Yes, it provides full documentation and implementation patterns for NCBI E-utilities like ESearch, EFetch, and ESummary using Python or direct REST requests.

Is an NCBI API key required to use this skill?

While not strictly required for low-volume requests (3/sec), an API key is recommended and supported to increase rate limits to 10 requests per second.

How does this skill help with systematic reviews?

It helps structure searches using the PICO framework (Population, Intervention, Comparison, Outcome) and advanced Boolean operators to ensure comprehensive and reproducible results.

PubMed Research & API Access

Name: PubMed Research & API Access
Author: BbgnsurfTech

byBbgnsurfTech

•

Ciencia de Datos y ML

Accesses the National Library of Medicine's PubMed database for advanced biomedical literature search and programmatic data retrieval.

Acerca de

This skill enables Claude to perform sophisticated biomedical research by leveraging the PubMed database and NCBI's E-utilities REST API. It allows for the construction of complex search queries using Boolean operators and MeSH terms, facilitates programmatic access for large-scale literature analysis, and supports systematic reviews through structured PICO frameworks. Whether you're extracting citations for a paper, automating data extraction, or building monitoring workflows, this skill provides the necessary syntax and API expertise to navigate millions of life sciences publications efficiently.

Características Principales

Advanced Boolean and MeSH query construction
Citation management and export in multiple formats (NBIB, XML, CSV)
Programmatic E-utilities API integration (ESearch, EFetch)
Systematic literature review and PICO framework support
3 GitHub stars
Automated literature monitoring and data extraction workflows

Casos de Uso

Conducting systematic literature reviews or meta-analyses
Building automated tools to monitor specific research areas
Extracting biomedical metadata and abstracts for data science projects

Acerca de

Características Principales

Advanced Boolean and MeSH query construction
Citation management and export in multiple formats (NBIB, XML, CSV)
Programmatic E-utilities API integration (ESearch, EFetch)
Systematic literature review and PICO framework support
3 GitHub stars
Automated literature monitoring and data extraction workflows

Casos de Uso

Conducting systematic literature reviews or meta-analyses
Building automated tools to monitor specific research areas
Extracting biomedical metadata and abstracts for data science projects