Is it possible to perform large-scale data extraction?

Absolutely. The skill includes built-in pagination logic and batch lookup functions specifically designed to download and export large datasets for offline analysis.

What kind of scholarly data can I retrieve with this skill?

You can access detailed information on scholarly works (papers, books), disambiguated author profiles, institutions, journals, publishers, funders, and subject topics.

Do I need an API key for the OpenAlex Database skill?

No, OpenAlex is a completely open database and does not require an API key, though providing an email address in the client setup is recommended to access higher rate limits.

How does the 'polite pool' work in this skill?

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

Can I filter results for specific criteria like Open Access?

Yes, the skill supports complex filtering for Open Access status, publication years, citation counts, and institutional affiliations using a standard query syntax.

OpenAlex Academic Research Database

Name: OpenAlex Academic Research Database
Author: BbgnsurfTech

byBbgnsurfTech

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Ciencia de Datos y ML

Queries and analyzes over 240 million scholarly works, authors, and institutions via the OpenAlex API for comprehensive bibliometric research.

Acerca de

The OpenAlex Database skill empowers Claude to perform sophisticated academic literature searches and research analytics using a massive open catalog of hundreds of millions of scholarly entities. It provides structured workflows for tracking citations, identifying publication trends, finding open-access research, and analyzing the output of specific researchers or institutions. By leveraging the OpenAlex API's 'polite pool,' this skill ensures high-performance data retrieval for literature reviews, competitive research analysis, and large-scale data extraction projects without the need for an API key.

Características Principales

Conduct deep bibliometric and citation history analysis
Filter for open-access publications and specific funding agencies
Query 240M+ scholarly works, authors, institutions, and topics
3 GitHub stars
Analyze publication trends and research output over time
Automated pagination and batch lookups for large-scale data extraction

Casos de Uso

Identifying emerging scientific trends through publication volume and topic analysis
Conducting comprehensive literature reviews and state-of-the-art research surveys
Tracking the research impact and citation metrics of specific authors or organizations

Acerca de

Características Principales

Conduct deep bibliometric and citation history analysis
Filter for open-access publications and specific funding agencies
Query 240M+ scholarly works, authors, institutions, and topics
3 GitHub stars
Analyze publication trends and research output over time
Automated pagination and batch lookups for large-scale data extraction

Casos de Uso

Identifying emerging scientific trends through publication volume and topic analysis
Conducting comprehensive literature reviews and state-of-the-art research surveys
Tracking the research impact and citation metrics of specific authors or organizations