What reviewers catch, and why papers come back.
Written from the reviewer's side of the desk, about the problems that cost researchers the most time.
Why Papers Get Desk Rejected: The Most Common Reasons
Desk rejection kills 30-70% of submissions. The 7 most common journal rejection reasons and how to avoid each one.
Common Statistical Mistakes in Research Papers
Why ignoring clustering, design effects, and multilevel structure leads to inflated significance and rejected manuscripts.
Is Using AI for Manuscript Review Ethical?
AI manuscript review ethics: journal policies, disclosure norms, and a practical framework for responsible use.
Reading about the mistakes is not the same as finding yours.
These articles describe what reviewers look for in general. The panel looks for it in your manuscript specifically, quotes the passage, and says what a specialist would examine next.
Elsewhere
Pre-submission checklists, desk rejection prevention, and statistical practice.
How PeerGenius differs from ChatGPT, Paperpal, and Thesify.
Manuscript assessment, Reviewer 2 comments, and desk rejection risk.