Published April 29, 2025 | Version v1
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Best Practices for Interpreting Similarity Check Reports

Authors/Creators

  • 1. ROR icon University of Hawaii System
  • 2. Editor at the Pan-African Medical Journal (PAMJ)

Description

This record includes materials from the webinar, Best Practices for Interpreting Similarity Check Reports, held on April 29, 2025. Whether you're new to Similarity Check or an experienced editor, this session offers practical guidance on interpreting similarity reports and using the service effectively.


Similarity Check, provided by Crossref and powered by iThenticate, helps editors identify potential plagiarism by comparing submitted content to a vast database of published materials. The resulting reports indicate where and how much text overlaps with existing sources.

 

Recording: Best Practices for Interpreting Similarity Check Reports

Files

Best Practices for Interpreting Similarity Check Reports - Audrey.pptx.pdf

Additional details

Dates

Other
2025-04-29