Structured Literature Search

Search multiple scientific databases for research on medicinal mushrooms

Search Parameters
Hold Ctrl/Cmd to select multiple species
Hold Ctrl/Cmd to select multiple compounds
Hold Ctrl/Cmd to select multiple effects
Examples: extraction method, clinical trial, therapeutic application
About Structured Literature Search
Multi-Database Scientific Literature Search

The Structured Literature Search tool allows you to search multiple scientific databases for research papers related to medicinal mushrooms. This feature helps you stay up-to-date with the latest research and discoveries in the field of mycology.

Supported Databases
  • PubMed: Biomedical literature from MEDLINE and life science journals
  • Scopus: Abstract and citation database of peer-reviewed literature
  • Science Direct: Full-text scientific database by Elsevier
  • Web of Science: Scientific citation indexing service
  • Google Scholar: Freely accessible web search engine for scholarly literature
Key Features
  • Multi-Database Search: Search across multiple scientific databases simultaneously
  • Smart Query Generation: Automatically creates optimized search queries
  • Deduplication: Removes duplicate papers across different databases
  • Flexible Output: Export results in CSV, JSON, or Excel formats
  • Scheduled Searches: Set up daily or weekly automated searches
Scheduled Literature Searches

In addition to manual searches, you can set up scheduled searches to automatically run on a daily or weekly basis. This ensures you never miss important new research.

Note: Accessing Scopus, Science Direct, and Web of Science requires valid API keys. Please contact your administrator to set up these integrations.
Command-Line Interface

For advanced users, the structured literature search feature is also available as a command-line tool: 

python scheduled_literature_search.py --frequency weekly --species "Hericium erinaceus" --effects "antioxidant" "antimicrobial" --databases pubmed

Run python scheduled_literature_search.py --help for more information on available options.