How does this skill handle API rate limits?

The underlying implementation includes automatic delays between requests to respect bioRxiv's server requirements and ensure reliable data collection without being blocked.

Is it possible to download full-text papers?

Yes, the skill includes a dedicated function for downloading preprint PDFs directly using their DOI, allowing for offline reading or automated text analysis.

What data can I retrieve from bioRxiv using this skill?

You can retrieve comprehensive metadata including titles, abstracts, DOIs, author lists, institutional affiliations, publication dates, and direct links to PDF or HTML versions.

Can I use this for trend analysis?

Absolutely. By searching within specific date ranges and categories, you can export results to analyze publication frequency, emerging research topics, and author influence over time.

Can I filter searches by specific scientific fields?

Yes, the skill supports filtering by over 25 categories such as genomics, neuroscience, biochemistry, immunology, and bioengineering.

bioRxiv Database Search

Name: bioRxiv Database Search
Author: Activer007

byActiver007

웹 스크래핑 및 데이터 수집

Searches and retrieves life sciences preprints from the bioRxiv database using keywords, authors, and DOIs.

소개

The bioRxiv Database skill enables researchers and developers to programmatically access the bioRxiv preprint server to discover the latest findings in life sciences. It provides powerful Python-based tools for filtering papers by subject categories, date ranges, and authors, delivering structured JSON metadata that includes abstracts and citation info. Whether conducting literature reviews or building automated research pipelines, this skill streamlines the process of tracking scientific trends and downloading full-text PDFs for deep analysis.

주요 기능

0 GitHub stars
Batch processing and temporal trend analysis support
Advanced search by keyword, author, and date range
Filtering by 25+ specific bioRxiv subject categories
Direct PDF download capabilities for full-text analysis
Metadata retrieval in structured JSON format (DOI, abstract, authors)

사용 사례

Automating author tracking to stay updated on specific research groups
Building data pipelines for computational chemistry or bioinformatics analysis
Conducting systematic literature reviews in specific biological fields

소개

주요 기능

0 GitHub stars
Batch processing and temporal trend analysis support
Advanced search by keyword, author, and date range
Filtering by 25+ specific bioRxiv subject categories
Direct PDF download capabilities for full-text analysis
Metadata retrieval in structured JSON format (DOI, abstract, authors)

사용 사례

Automating author tracking to stay updated on specific research groups
Building data pipelines for computational chemistry or bioinformatics analysis
Conducting systematic literature reviews in specific biological fields