Bibliographic Details
| Title: |
Scite.ai Review: By Amy Fry Associate Professor, E-Resources Management Librarian, Acquisitions & Cataloging Services, University of Illinois at Urbana-Champaign, Champaign, IL, USA. |
| Authors: |
Fry, Amy1 |
| Source: |
Journal of Electronic Resources Librarianship. Jul-Sep2023, Vol. 35 Issue 3, p238-241. 4p. |
| Subject Terms: |
*Machine learning, Database evaluation, Digital Object Identifiers |
| Reviews & Products: |
Web of Science (Web resource), Google Scholar (Web resource) |
| Abstract: |
The article focuses on Scite.ai. Artificial intelligence is a tool that provides quantitative information about citation, enabling researchers to analyze scholarship reception and replicability. It reports "smart citations" by ingesting articles with digital object identifiers (DOIs), matching them against the Crossref database, and assessing citation intent using machine learning. It mentions that it covers millions of articles with DOIs, comparable to the Web of Science and Google Scholar. |
| Database: |
Education Research Complete |