Does this skill support open-access filtering?

Absolutely. You can filter results to find only open-access papers or specify statuses such as gold, green, hybrid, or bronze.

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 is recommended for higher rate limits.

How do I increase my request rate limit?

By providing an email address when initializing the OpenAlex client, you gain access to the 'polite pool,' which increases your rate limit from 1 to 10 requests per second.

Can I search for papers by a specific university?

Yes, the skill includes specialized helper functions to find and analyze works associated with specific institutions using their names or ROR identifiers.

Can I export search results to a CSV file?

Yes, the skill provides patterns for large-scale data extraction and pagination, allowing you to save scholarly metadata directly to CSV or other formats.

OpenAlex Scholarly Database

Name: OpenAlex Scholarly Database
Author: Activer007

byActiver007

Data Science & ML

Queries and analyzes over 240 million scholarly works to conduct literature searches, citation analysis, and bibliometric studies.

About

The OpenAlex Database skill empowers Claude to interact with one of the world's largest open catalogs of scholarly literature, including works, authors, institutions, and topics. It provides specialized tools for searching academic papers, tracking researcher output, analyzing institutional impact, and identifying research trends across millions of records. By leveraging the OpenAlex API, users can perform complex bibliometric analyses, discover open-access publications, and map out citation networks without requiring an API key, making it an essential tool for researchers, academics, and data scientists seeking structured scientific data.

Key Features

0 GitHub stars
Search 240M+ scholarly works by title, abstract, topic, or DOI.
Automated rate limiting and pagination for large-scale research data extraction.
Analyze research output and publication trends for authors and institutions.
Filter for open-access status, publication year, and specific funding agencies.
Track citation networks and identify highly influential papers in specific fields.

Use Cases

Conducting comprehensive literature reviews and academic research mapping.
Analyzing global research trends and emerging topics in scientific disciplines.
Tracking the publication impact and citation metrics of specific researchers.

About

Key Features

0 GitHub stars
Search 240M+ scholarly works by title, abstract, topic, or DOI.
Automated rate limiting and pagination for large-scale research data extraction.
Analyze research output and publication trends for authors and institutions.
Filter for open-access status, publication year, and specific funding agencies.
Track citation networks and identify highly influential papers in specific fields.

Use Cases

Conducting comprehensive literature reviews and academic research mapping.
Analyzing global research trends and emerging topics in scientific disciplines.
Tracking the publication impact and citation metrics of specific researchers.