iThenticate is a similarity checker that is designed to compare any document you upload to published information online to identify text that may have inadvertently been plagiarized or was not sufficiently paraphrased from the original source.
Einstein has a subscription for iThenticate and members of our affiliated institutions can sign up for an account by going to https://library.einsteinmed.edu/ithenticate and filling out a short form.
Once you are logged in, you can create a folder for your project and upload your document. When you run a report, iThenticate will give you an analysis of where phrases from your text overlap with other publications. You can click on each one to see the content they have in common.
There are many reasons why the same or similar wording may be used in two articles without indicating plagiarism so it is very rare that iThenticate shows zero percent similarity. Rather you should look at each match to understand why it has been detected by the program and whether it means that revisions are needed.
In addition, you can set a variety of filters to help you focus on the matches that are likely to be the most relevant. For instance, you can exclude matches of only a few words, which may be produce false positives. You can also exclude quotations or certain portions of the document, such as the abstract, methods section, and/or bibliography. These are all areas where matching text is often found without it being an indicator of plagiarism. For instance, many researchers use a template in writing their methods sections, which leads to them being similar between publications. Likewise, the reference lists of articles on related topics are likely to show substantial overlap.
No one can see your results in iThenticate – they are simply a tool for you to understand similarities with existing sources and address them as needed – so we encourage you to take advantage of this valuable library resource.
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