PubMed Central

PubMed Central aggregates and archives full-text peer-reviewed biomedical and life sciences journal literature to enable literature retrieval, systematic reviews, meta-analyses, data mining, and linking articles with NCBI databases such as PubMed and GenBank.

Key Features:

• Integration with NCBI resources: Links article metadata and full text with NCBI resources including Entrez, PubMed, and GenBank to enable cross-referencing between literature and biological data.
• Comprehensive coverage: Archives a wide range of biomedical and life sciences journal literature across multiple disciplines to support broad literature-based analyses.
• Enhanced search capabilities: Leverages NCBI search infrastructure to index articles by author, keywords, and publication date for targeted retrieval.
• Support for research applications: Provides content suitable for meta-analyses, systematic reviews, data mining, and hypothesis generation in biomedical research.

Scientific Applications:

• Literature synthesis: Enables systematic reviews and meta-analyses by providing indexed full-text journal articles for evidence aggregation.
• Evidence-based medicine: Supports retrieval and appraisal of clinical studies and review articles for clinical and translational research.
• Data-driven research: Facilitates text- and data-mining workflows and linking of literature findings to biological datasets and sequence records in NCBI databases.

Methodology:

Curates and archives full-text articles from participating publishers and integrates article metadata with NCBI's suite of tools to link articles to related biological data.