Scite.ai – Access to the Full Version Now Available at UZH

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UZH members now have free access to the AI tool Scite.ai. It makes it much easier to find and evaluate content in academic papers.

Finding and evaluating scientific information is becoming increasingly difficult, often too complex for one human mind alone. Scite.ai is an AI tool that helps you process the content and citations in scientific papers, creating new ways to discover and evaluate information. Together with our partner library Zentralbibliothek Zürich we are happy to offer access to the full version for everyone at UZH.

What is scite.ai?

Scite.ai offers quantitative and qualitative insight into how scientific publications cite each other. It uses a deep learning model to tell you, for a given publication:

• the context in which it was cited by displaying the text where the citation happened from each citing paper
• whether a particular citation supports, disputes, or simply mentions a scientific claim

Learn more about how scite.ai works.

Who can use scite.ai?

Scite is useful for anyone who reads scientific literature – offering a variety of features to all levels from students to advanced researchers. It can be used for literature reviews and analyses, for writing a paper and even for staying up to date in a certain field of research.

Learn more about how to use scite.ai.

At UZH all users have access to the full version of scite.ai (use the network “uzh” or connect to the UZH VPN when off-campus). Do not hesitate to contact us with questions or feedback!

Further features and resources

• A browser extension enables you to see Smart Citations anywhere you’re reading a scientific article online. 
• Reference Check feature for checking drafts of an article, course paper, or an essay in .docx or .pdf, immediately detecting retracted publications or publications with editorial concern in your reference list.
• Scite Assistant, which is an interface like ChatGPT, but your answers are generated from the full-texts of millions of research articles.

More information on “Smart Citations”:
Nicholson, J. M. (2021). Smart(er) Citations. Matter, 4(3), 756–758. https://doi.org/10.1016/j.matt.2021.02.007

Anna C. Véron, Liaison Librarian