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Medical and Scientific Writing

Provides resources for writing journal articles, posters, presentations and other forums.

Click the following link for access: iThenticate Access

iThenticate is a text analysis tool that allows authors to screen their original written work for similarity against a vast database of published academic content. This aids in detecting unintentional plagiarism and inadequate citations in a user's scholarly work. The Similarity Report generated by iThenticate allows users to directly see the document with matching text alongside their own work.

Who is required to use iThenticate?

  • All first, last and corresponding authors are required to utilize this software prior to each submission and re-submission of a manuscript to a journal or a preprint server or platform.
  • All named Principal Investigators (including post-doctoral fellows and PhD students) on grant applications are required to utilize this software prior to submission of the application to NYU Langone Health’s Sponsored Programs Administration.

How can I access iThenticate?

All NYULH employees can access iThenticate by logging in using their KID and password at the following link: iThenticate

Who do I contact if I am having problems with iThenticate?

If you are experiencing problems logging in, getting a "stale request" page, or other technical error, please first try clearing your cache/cookies, restarting your browser and logging in again. If this doesn't work, create a ticket with MCIT. If you need help utilizing the system or addressing items in your similarity report, reach out to the NYU Health Sciences Library. For policy related questions, contact Research Integrity and Compliance: ResearchIntegrityCompliance@nyulangone.org.

For more information, see the NYU Langone Health iThenticate Policy Requirement FAQ document below.

The iThenticate Similarity Report is a self-guided document to help users ensure the integrity of their own scholarly work. The report does NOT need to be uploaded or submitted. While there is no universal ideal maximum or minimum similarity scores, see below for general guidance on score interpretation.

Getting Started with iThenticate (Scroll to view PDF)

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