Similarity Review Report

Conference on Open Access Publishing Opportunities.

To ensure the originality, integrity, and ethical compliance of submitted manuscripts, we offer a Similarity Review Report service. This helps you preemptively identify overlapping text, properly cite sources, and reduce the risk of rejection or ethical concerns.

What Is a Similarity Report?

A Similarity Report is generated by text-comparison software (such as iThenticate) that compares your manuscript against published works, web content, and scholarly databases. It highlights segments of your manuscript that may overlap with existing sources and computes an overall similarity score.

Unlike plagiarism detection tools, this service is a diagnostic check, it does not itself determine plagiarism, but flags content that requires review. The interpretation of overlaps, context, citation, and legitimate reuse is left to human judgment.

Why It Matters

What You’ll Receive

When you order a Similarity Review Report, you’ll get:

How the Process Works

  1. You submit your manuscript
    You upload your document (Word, PDF, etc.) or specify the version you want checked

2. Expert interpretation & commentary
After the raw report is generated, an editorial expert reviews matches and classifies what’s acceptable (e.g. properly cited) vs what needs revision.

3. Delivery of the report
You receive the full report, highlighted matches, similarity percentage, and expert recommendations for improvement.

4. (Optional) Re-check after revision
If you revise based on the report, you may re-submit updated sections to ensure that new content doesn’t introduce overlapping text again.

Best Practices & Interpretative Notes

Pricing & Turnaround

FAQs

Will the report penalize properly cited text?

Yes, matched quoted or cited text will often show up in the report; it’s up to you to confirm whether the overlap is legitimate.

Can I see the report that my eventual journal editor will see?

This depends on journal policy. In many cases, similarity reports are shared with editors but not with authors directly.

Can this detect paraphrasing or concept plagiarism?

No. Similarity software detects exact or near-exact text overlap. Paraphrased ideas or conceptual plagiarism are harder to detect automatically and require editorial judgment.

What is a “safe” similarity score?

There is no universal threshold. Many journals consider <20–25% acceptable after exclusions; but even a low score can hide problematic overlap if concentrated from a single source.

What if the new text I add after revision also overlaps?
You can request a recheck of the revised sections to ensure no new problematic overlap is introduced.