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RE: Journal rejection and acceptance rates
- To: <liblicense-l@lists.yale.edu>
- Subject: RE: Journal rejection and acceptance rates
- From: "John Cox" <John.E.Cox@btinternet.com>
- Date: Tue, 1 Feb 2011 19:04:38 EST
- Reply-to: liblicense-l@lists.yale.edu
- Sender: owner-liblicense-l@lists.yale.edu
Acceptance and rejection rates comprise a crude measure - a rule of thumb, rather than an accurate statistical measure of quality. For the publisher, acceptance and rejections rates, and the flow of submissions, are all indicators of a journal's health. When the acceptance rate is low - and getting lower - and the rejection rate is high and increasing, it will be clear that the journal is turning away good papers. It will then be time to assess whether the journal should increase the number of pages to be published, or increase frequency. These are both derived from the requirements of printed journals, but still hold sway as the vast majority of journals are still published in print as well as online. I emphasise that it is only a rule of thumb, and cannot be used in isolation. Each journal, and each publisher, is different. Moreover, journal editors are independent and not employed by the publisher. In the days before online submission and peer review systems such as Editorial Manager and ScholarOne Manuscript were introduced, the breakdown of various categories of rejection (or should we call them non-acceptance?) were not kept because nobody asked for such a detailed breakdown, and because the Editor's obligation was to deliver to the publisher accepted manuscripts within the parameters set out in the journal budget. The Editor counted submissions and acceptances. Period. While it is absurd to suggest that a journal with 100% rejection rate is of the highest quality, when the rate of rejections (non-acceptances) reaches 75-80%, it is time to examine the future publishing plans for the journal. It is a useful indicator. No, it is not auditable in the same way as journal subscription or circulation numbers, or usage data, because it is only a rule of thumb. Don't apply statistical rigour to a measure that has never been captured or used in that way. And, in respect of judgments about a journal's 'quality', it should be used in conjunction with other measures such as usage and Impact Factor. John Cox Managing Director John Cox Associates Ltd Rookwood, Bradden Towcester, Northamptonshire NN12 8ED United Kingdom E-mail: John.E.Cox@btinternet.com Web: www.johncoxassociates.com
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