Hello fellow journalologists,
This is the tenth issue of the Journalology newsletter; I’m rather proud (and slightly surprised) that I managed to make it to double figures. If you’ve been with me from the beginning, thank you. If you're reading this newsletter for the first time, welcome.
Putting together these newsletters takes time, so if you think your colleagues may benefit from reading the newsletter please do spread the word. I am more likely to reach issue #100 if the audience grows steadily each week.
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On Tuesday Christos Petrou assessed whether journal articles are being peer reviewed and published quicker now than a decade ago. His analysis concluded that the time between submission and publication fell from 199 days (mean) in 2011/12 to 163 days in 2019/20 for the industry as a whole. However, much of that improvement was due to two publishers: MDPI and the Amercian Chemical Society (ACS).
With regards to peer review:
Christos’ article contains some valuable lessons for editors and publishers regarding the competitive nature of reducing manuscript turn around times (TAT). He concludes:
That sounds like a good idea in theory, but TAT data would only be helpful to authors if publishers measure their journals’ performance in a commonly agreed and consistent manner.
Publishers’ policies will affect these metrics, as Phil Davis points out in the comment section. For example, some journals may only do one round of peer review and make an accept or reject decision at that point. “Rejected” authors can resubmit once they’ve addressed the referees’ comments, but that would restart the TAT clock.
Another confounder is that some journals receive a large number of papers through a transfer cascade; papers that already having been peer reviewed by the ‘donor’ journal will help improve pubication times for the ‘receiver’ journal.
In short, TAT data need to be interpreted carefully especially if an editor is directly comparing their journal’s performance with a competitor’s publication.
We know from multiple surveys that authors want to be able to publish quickly. How can editors and publishers make that happen? One factor is manuscript loads, which are directly related to publication speeds.
Let’s explore this with a thought experiment, which is entirely fictional and overly simplified, but hopefully makes the point. I’ve created a spreadsheet which may help you to follow the logic.
Journal A publishes papers quickly: 30% of papers are either accepted or rejected (i.e. a final decision made) by day 30, 70% by day 60, and 100% by day 90.
A brand new editor joins Journal A and receives 10 papers to peer review on Day 0, another 10 on Day 30, another 10 on Day 60 and so on.
By Day 60 the editor’s manuscript load (the number of papers that they are peer reviewing at any given time) reaches a steady state of 20 papers. The editor makes quick decisions and so their manuscript load remains low.
Journal B publishes papers slowly: 30% of papers are either accepted or rejected (i.e. a final decision made) by Day 210, 70% by Day 240, and 100% by Day 270.
A brand new editor joins Journal B and receives 10 papers to peer review on Day 0, another 10 on Day 30, another 10 on Day 60 and so on.
However, because the TATs are slower on Journal B the editor’s manuscript load reaches steady state at 80 manuscripts. This means that editors on Journal B are having to manage the peer review of 80 papers while the editors on Journal A only have to keep on top of 20 papers, even though both sets of editors are sending out 10 papers for peer review each month.
This has the potential to create a vicious circle. Editors that have a high manuscript load are likely to struggle to keep on top of their pipeline because of the admin burden, which is likely to slow them down even further.
This is hardly surprising when you think about it, but it has important implications for editors and publishers when deciding how best to set a journal up for success.
Is it better to have one editor with a case load of 90 manuscripts or three editors each with a case load of 30 manuscripts? After all, authors are likely to be published more quickly if they submit to a journal whose editors are not overwhelmed.
Bearing this in mind, here are two excerpts from the MDPI 2021 annual report:
and…
The reports notes that MDPI had 115,000 academic editors by the end of 2021, who worked on 383 journals.
It seems highly likely that one reason why MDPI is able to publish papers so quickly is because they have a large number of in-house and academic editors, who each have low manuscript loads. Overwhelmed editors are slow editors. MDPI is fast in part because of the large team that it has created.
Rapid publication is helpful from a commercial perspective when operating under a Gold OA APC model: fast publication means improved cash flow. If a publisher is able to knock 30 days off their journals’ time to publication, then the journals would be able to publish an extra month’s worth of papers in a calendar year, increasing revenues by ~8%.
In summary: a low manuscript load is good for editors; fast publication is good for authors and publishers; however, unless quality is maintained, rapid publication may not be good for readers.
The trade off between speed and quality has been a theme in our industry for decades. Here's a quote from two former editors of The New England Journal of Medicine from 1991 to make that point.
Source: The New York Times
Source: Retraction Watch
Source: NEO.LIFE
Source: The Scholarly Kitchen
Source: Emerald Publishing
Source: Research Information
Full report: Confidence in research: researchers in the spotlight
Source: eLife
Source: The Scholarly Kitchen
Source: ASAPBio
If you managed to get this far, well done and thank you for reading until the end.
Until next week...
James
The Journalology newsletter helps editors and publishing professionals keep up to date with scholarly publishing, and guides them on how to build influential scholarly journals.
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