We strongly recommend (and in some cases require) that authors adhere to the reporting standards which have been adopted by their field (or which apply to their study design).
All statistical results should be reported in full, including the test that was performed, the reason for choosing that test, the corresponding test statistic, sample size, degrees of freedom, the exact p-value expressed up to 2 decimal spaces unless 'p<0.001' or confidence interval, and effect sizes. Where multiple testing is performed, suitable corrections must be made.
Do not report inferential statistics such as p values or confidence intervals for known quantities such as baseline measurements. The spread of the data can be indicated by descriptive statistics such as standard deviation, or quantiles and ranges.
Where appropriate, we recommend that you overlay bar graphs with scatter plots showing individual data points, or use another method to show the distribution of the data, such as boxplots, violin plots, etc.
PeerJ journals consider timely and well-targeted literature reviews of fields with broad cross-disciplinary interest within the journal's scope. While we do not impose a hard limit, we recommend a maximum of 8,000-12,000 words in order to keep the review focused. The review should include a rationale for why it is needed, describe who it is intended for, and include a description of the procedures used to ensure that it is comprehensive and unbiased (for example, the search strategies that were employed). Gaps in the literature, future avenues of research and opportunities for cross-disciplinary collaborations should be clearly identified.
Since, by their nature, literature reviews rely heavily on the published work of others, it is especially important to avoid inadvertent plagiarism by copying and pasting sections of text from the original source. In addition, it is very important, when quoting or paraphrasing, to correctly acknowledge your sources.
We recommend that your review is structured following the guidelines for Literature Review Articles in standard sections.
In the interests of inclusivity, PeerJ does not condone the use of images such as Lena/Lenna and Tiffany without a strong scientific justification. Suitable substitutes are available. If you must use the image to compare the performance of your algorithm to a published paper where the algorithm is not available, please avoid reproducing the image in your figures and only report the numerical results (e.g. histograms, etc.).
In general, it is expected that work involving human subjects will be submitted to PeerJ - the Journal of Life and Environmental Science, but if the intended audience is the computer science community and the human experiments are a minor part of the overall work then it will be considered for publication in PeerJ Computer Science, so long as it complies with the usual ethical requirements.
These policies are made available under the Creative Commons CC BY 4.0 license and can be copied for reuse with attribution.