Cell Biology 95%
|Ecology, Evolution, Behavior and Systematics||1||6/629||
Ecology, Evolution, Behavior and Systematics 99%
Annual Publication Volume
Publication Volume Dataset
Genome Biology | Acceptance Rate
The acceptance rate for an academic journal is dependent upon the relative demand for publishing in a particular journal, the peer review processes in place, the mix of invited and unsolicited submissions, and time to publication, among others. As such, it may be a proxy for perceived prestige and demand as compared to availability. However, locating acceptance rates for individual journals or for specific disciplines can be difficult, yet is necessary information for promotion and tenure activities. Journals with lower article acceptance rates are frequently considered to be more prestigious and more “meritorious”. As an internal benchmark, most journals will not publish their acceptance rates on their website. From their perspective, a consistently low acceptance rate may prove to be a deterrent to future submissions. Moreover, the method of calculating acceptance rates varies among journals. Some journals use all manuscripts received as a base for computing this rate. Other journals allow the editor to choose which papers are sent to reviewers and calculate the acceptance rate on those that are reviewed that is less than the total manuscripts received. Also, many editors do not maintain accurate records on this data and provide only a rough estimate.
Journal Acceptance Rate Feedback System
Journal Acceptance Rate Feedback System provides an open, transparent, and straightforward platform to help academic researchers support informed decisions through the wisdom of crowds. Academic Accelerator displays the exact community-driven data without secret algorithms, hidden factors, or systematic delay. Let us improve the transparency of peer-review process together!
Genome BiologyÂ covers all areas of biology and biomedicine studied from a genomic and post-genomic perspective. Content includes research, new methods and software tools, and reviews, opinions and commentaries. Areas covered include, but are not limited to: sequence analysis; bioinformatics; insights into molecular, cellular and organismal biology; functional genomics; epigenomics; population genomics; proteomics; comparative biology and evolution; systems and network biology; genome editing and engineering; genomics of disease; and clinical genomics. None