About Review Process
Peer review exists to ensure that journals publish good science. This benefits the entire scientific community.
Sometimes scientists find the peer review process intimidating because it can lead to the rejection of their manuscript. Keep in mind that revisions and improvement are part of the publication process and actually help raise the quality of your manuscript.
Peer review is an integral part of scientific publishing that confirms the validity of the science reported. Peer reviewers are experts who volunteer their time to help improve the journal manuscripts they review-they offer authors free advice.
Through the peer review process, manuscripts should become:
More robust: Peer reviewers may point out gaps in your paper that require more explanation or additional experiments.
Easier to read: If parts of your paper are difficult to understand, reviewers can tell you so that you can fix them.
More useful: Peer reviewers also consider the importance of your paper to others in your field. Of course, in addition to offering authors advice, another important purpose of peer review is to make sure that the manuscripts the journal eventually publishes are of high quality. If a journal publishes too many low-quality manuscripts, its reputation and number of readers will decline.
Editorial rejection
Your journal manuscript can be rejected if it:
Lacks proper structure.
Lacks the necessary detail for readers to fully understand the authors' analysis
Has no new science
Does not clearly explain which parts of the findings are new science, versus what was already known
Lacks up-to-date references
Contains theories, concepts, or conclusions that are not fully supported by its data, arguments, and information
Does not provide enough details about materials and methods to allow other scientists to repeat the experiment
Lacks clear descriptions or explanations
Hypotheses tested
The experimental design
Sample characteristics and descriptive statistics
Describes poor experimental design, or faulty or insufficient statistical analysis
Has poor language quality