A common response to posting peer reviews (e.g. eLife, EMBO J) is it's wasted effort because no-one will read them. Well, breaking news: not many people read the paper either...

EMBO estimate ~10% of readers look at the peer reviews. Given a peer review takes ~5 hours to generate and one would certainly conclude a paper takes >50 hours to generate, then a readers/hour-worked calculation surely argues in favor of posting peer reviews - no?

@richardsever @jkpritch It would be better to assess the impact of posting reviews. It’s a good thing for transparency, but I’ve not seen a comment on social media, in a talk, or in a paper stating “this paper claims X, but the reviewers were not convinced” or had a colleague tell me that they were going to cite a paper but didn’t based on posted reviews. Could change, but seems more likely that the stamp of publication (yes, even at eLife) will dominate.

@jkpritch @richardsever I’m excepting those papers for which a problem was identified post-publication and therefore there was a lot of interest in the reviews re: the question “how did this get published?”

Other than that, I just haven’t seen posted reviews affect the course of science. I’d love to see counterexamples, as I want to believe it’s useful.

@StearnsLab @jkpritch @richardsever Isn't this exclusion a little bit like saying, well, why have the black box in the jetliner, since they almost never crash? (This also excludes a lot of other arguments in favor of posting peer reviews—for example, I rarely look at them as a way to judge a paper, but I often look at them as an insight into editorial process...)

@marcdionne @StearnsLab @jkpritch @richardsever I personally regularly read reviewer comments and author responses for papers that are bang on my research interests at eLife, EMBO J, Nat Comm etc. There's a lot to learn there, scientifically and rhetorically, and I wish I had access to this when I was a PhD student and postdoc to understand the ins and outs of peer review.

@christlet @marcdionne @StearnsLab @jkpritch @richardsever Sometimes reviewers put forward great hypotheses or propose experiments that are rightfully considered by the editor & authors outside the scope of the paper, but are great scientific discussions. They remind me of a vanishing genre: transcripts of workshop discussions. I first learned from the volumes of Basel Tolerance workshop - they are incredible

cc @mucida

books.google.pt/books/about/Th

@cyrilpedia @marcdionne @StearnsLab @jkpritch @richardsever @mucida Another example is when authors provide data or figures just for reviewers to show that they tried X or Y and it didn't work or wouldn't be a useful addition to the paper

Sign in to participate in the conversation
CleverLibre Social

CleverLibre Social is an inclusive social instance for open discussion, learning, and community.
All cultures welcome.
Hate speech and harassment strictly forbidden.