Try out in April the AI tool for analyzing scientific articles and citations
Students
Science and research
Employees
Scite_ is a tool for in-depth citation analysis. With it, you can find out how many times a given article has been cited, more easily avoid citing scam research, quickly evaluate the quality of research, and assess the impact and context of citations.
Scite_ will quickly and efficiently help you:
- Ensure you are citing reproducible research: Scite_ can show how an article has been cited and whether it has been supported or refuted by subsequent research.
- Go beyond simple citation counts: delve into richer information to assess the impact and context of citations.
- Discover the most supported or discussed research, quickly evaluate the quality of research: through advanced search and Citation Statement Search in Scite_.
- Create instant summary overviews in PDF on any topic, where you identify: i) who publishes the most reliable research on a given topic, ii) what it says, iii) where it comes from institutionally, and iv) how these pieces of information looked in the past and in the latest literature.
- Track topics from biology to humanities and uncover whether research findings are supported or refuted by subsequent studies.
- Avoid fake science: Identify highly discussed research and make sure you are not citing or building your project on retracted or fraudulent research.
A trial access to Scite_ will be set up for the entire university (from the IP addresses of UWB) from April 1 to April 30 at the address https://scite.ai.
Let the library know how satisfied you are with the tool, at the email library@uk.zcu.cz.
For more information about electronic information sources available to you, check the Resources section on the library's website.
Gallery
University Library
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Jakub Pokorný (translated by ChatGPT)
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28. 03. 2024
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