Does this skill support citation tracking?

Yes, it includes tools to track citation counts and retrieve lists of papers that have cited a specific work using DOIs or OpenAlex IDs.

Can I filter results for Open Access papers only?

Absolutely. You can filter search results by Open Access status, including specific types like Gold, Green, Hybrid, or Bronze.

Does the OpenAlex Database skill require an API key?

No, OpenAlex is a completely open database and does not require an API key. However, providing an email address in the client setup grants access to the 'polite pool' for faster rate limits.

Can I search for specific authors or institutions?

Yes, the skill supports a two-step lookup pattern to identify specific author and institution IDs, ensuring precise retrieval of research outputs.

How many publications can I access through this skill?

The skill provides access to the full OpenAlex catalog, which contains over 240 million scholarly works, authors, institutions, and topics.

OpenAlex Scholarly Database

Name: OpenAlex Scholarly Database
Author: jimmc414

byjimmc414

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324

データサイエンスとML

Accesses and analyzes over 240 million scholarly works, authors, and institutions via the OpenAlex API for automated scientific discovery.

概要

The OpenAlex Database skill empowers Claude to perform sophisticated bibliometric analysis and literature searches across a massive, open catalog of academic publications. It enables researchers and developers to find papers by DOI or topic, track citation counts, analyze institutional research output, and identify publication trends without requiring a paid API key. By integrating this skill, Claude can autonomously discover research patterns, sample datasets for meta-analyses, and verify academic credentials across the global scientific ecosystem, making it an essential tool for AI-driven scientific workflows.

主な機能

324 GitHub stars
Advanced filtering for open access status, citation counts, and publication dates.
Literature search across 240M+ scholarly works, papers, and datasets.
Disambiguated author and institution lookups using external IDs like ORCID and ROR.
Automated bibliometric analysis and publication trend tracking over time.
Efficient batch lookup and large-scale data extraction with built-in rate limiting.

ユースケース

Automated literature reviews and systematic mapping for scientific research.
Analyzing the research impact and output of specific universities, labs, or authors.
Collecting large-scale scientific datasets for machine learning training and meta-analysis.

概要

主な機能

324 GitHub stars
Advanced filtering for open access status, citation counts, and publication dates.
Literature search across 240M+ scholarly works, papers, and datasets.
Disambiguated author and institution lookups using external IDs like ORCID and ROR.
Automated bibliometric analysis and publication trend tracking over time.
Efficient batch lookup and large-scale data extraction with built-in rate limiting.

ユースケース

Automated literature reviews and systematic mapping for scientific research.
Analyzing the research impact and output of specific universities, labs, or authors.
Collecting large-scale scientific datasets for machine learning training and meta-analysis.