Hour 2 · Bibliometrics · Step 11 of 1573%
2.2
Getting the data
The real cost barrier.
~10 min
Scopus and Web of Science are the gold standard, but paid and institutionally gated. Several free alternatives are now credible.
Tools for this step
AI prompts (1)
Prompt
OpenAlex API query designer
When: You want to pull a clean dataset for bibliometric analysis.
Design an OpenAlex API query for a bibliometric study. Topic: <PASTE> Years: <e.g. 2015–2025> Document types: <e.g. articles, reviews> Language: <e.g. English> Return: 1. A single OpenAlex /works URL with the right filters (search, from_publication_date, to_publication_date, type, language). 2. A second URL that returns just the count, so I can sanity-check the size before downloading. 3. A short Python snippet using `pyalex` (or requests with cursor pagination) that downloads all records into a CSV with: id, doi, title, authorships, publication_year, host_venue, cited_by_count, concepts, abstract_inverted_index. 4. Notes on rate limits and the "polite pool" email header.