Do I need an API key to use the OpenAlex skill?

No, OpenAlex is a completely open database and does not require an API key for access, though providing an email address increases your rate limits via the 'polite pool'.

What kind of data can I retrieve with this skill?

You can access comprehensive metadata for works, authors, institutions, sources, topics, publishers, and funders across the entire global research ecosystem.

Does it support finding Open Access papers?

Yes, it includes built-in filters to discover freely available research and can distinguish between gold, green, hybrid, and bronze open access statuses.

Can I use this for large-scale data analysis?

Yes, the skill includes specialized patterns for pagination, batch lookups for up to 50 IDs at once, and random sampling to handle large datasets efficiently.

How do I increase my request rate limit?

By initializing the OpenAlex client with an email address, you are placed in the 'polite pool', which increases your rate limit from 1 to 10 requests per second.

OpenAlex Research Analytics

Name: OpenAlex Research Analytics
Author: Activer007

byActiver007

Data Science & ML

Queries and analyzes millions of scholarly works, authors, and citations using the OpenAlex open database API.

About

This skill integrates the OpenAlex database into Claude's workflow, enabling sophisticated bibliometric analysis and literature discovery across over 240 million scholarly works. It provides a robust Python-based client for searching papers, tracking publication trends, identifying influential researchers, and analyzing institutional research outputs. Designed for researchers, data scientists, and academics, it simplifies complex API queries into manageable workflows for citation mapping, open access verification, and large-scale metadata extraction without requiring a private API key.

Key Features

0 GitHub stars
Automated bibliometric and publication trend analysis
Advanced filtering for Open Access and specific research topics
Comprehensive citation tracking and impact mapping
Access to 240M+ scholarly works, authors, and institutions
High-performance batch lookups and large-scale data extraction

Use Cases

Analyzing the research output and impact of specific institutions or authors
Conducting systematic literature reviews and finding highly-cited papers
Tracking historical publication trends in emerging scientific fields

About

Key Features

0 GitHub stars
Automated bibliometric and publication trend analysis
Advanced filtering for Open Access and specific research topics
Comprehensive citation tracking and impact mapping
Access to 240M+ scholarly works, authors, and institutions
High-performance batch lookups and large-scale data extraction

Use Cases

Analyzing the research output and impact of specific institutions or authors
Conducting systematic literature reviews and finding highly-cited papers
Tracking historical publication trends in emerging scientific fields