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Appofficial publisher

Scite

App : A product you use directly

Shows whether a scientific publication is confirmed or contradicted by the papers that cite it.

For researchers who want to verify rather than just read.

Overall score
6.3 /10
Security: one caveat, see the card
Utility
6.0
Reliability
6.0
Security
One caveat
Ease
1 click · Comfortable

Security reflects where data goes, requested permissions and incidents on record at the verification date. It is not a guarantee of zero risk: check the deployment mode and the connections you enable.

What it does, concretely

Reading a scientific publication is not enough to know whether its conclusions hold: other works published since may confirm, contradict, or simply mention them. Scite addresses this problem by analysing the context of each citation rather than merely counting them.

The platform uses natural language processing and deep learning to extract and classify citations from millions of full-text articles. Each citation is labelled as 'supporting', 'contrasting', or 'mentioning' the cited publication. Users can therefore see at a glance whether a study is well supported or contested by subsequent literature.

Scite is aimed at researchers, PhD students, authors, and peer reviewers who need to verify the reliability of a source before relying on it or citing it in their own work. The platform covers journal articles, preprints, patents, clinical trials, and grant data.

Scite is not designed for general public use or for searches outside the academic field. Students looking for a free reference manager or people unfamiliar with scientific literature will find little immediate value in it.

What it offers

  • ·Smart Citations: each citation is automatically classified as 'supporting', 'contrasting', or 'mentioning' the cited publication, using a deep learning model.
  • ·Full-text search across a database of over one billion citations from articles, preprints, patents, clinical trials, and grants (paid).
  • ·AI Assistant: ask questions in plain language and receive answers grounded in scientific literature, with links to the exact source sentences (paid).
  • ·Reference Check: upload a manuscript PDF to instantly verify whether your references have been retracted, corrected, or contradicted (paid).
  • ·Custom dashboards: monitor a set of articles and receive email alerts for new citations or editorial notices (paid).
  • ·Browser extension (Chrome, Firefox, Safari, Edge): displays Smart Citation badges directly on article pages read online.
  • ·Zotero plugin: shows supporting, contrasting, and mentioning citation counts for each article directly inside the Zotero library.
  • ·MCP integration: connects Scite to compatible AI assistants such as Claude, ChatGPT, or Copilot to access Smart Citations from within those tools.

In practice

Price
Paid
Commercial use
Commercial use: yes
Available on
web, chrome
FR interface
No

Security and data

Rating
Security: one caveat, see the card
Your data
Data with the vendor
Maintenance
Active

Links and repository checked on 25 October 2026 · added on 1 January 2018

How to install Scite

1. Go to https://scite.ai and create an account (a 7-day free trial is available; no credit card required at sign-up). 2. For the browser extension, click 'Install Extension' on the website or search for 'Scite' in your browser's extension store (Chrome, Firefox, Edge, or Safari). 3. Note that the extension requests permission to read and modify data on all visited websites in order to detect DOIs: grant this permission with full awareness. 4. For the Zotero plugin, download the .xpi file from https://github.com/scitedotai/scite-zotero-plugin/releases, then in Zotero go to Tools > Plugins and drag the .xpi file onto the Plugin Manager window. 5. To sync your Zotero or Mendeley library, click 'Create Dashboard' on the Scite homepage and connect your reference manager account. 6. If your institution has institutional access, log in via the link provided by your library using your university email address to gain full access.

In the same category

Whole category Research & monitoring →