Rejected Papers Get More Citations When Eventually Published
scibri writes "In a study of more than 80,000 bioscience papers, researchers have illuminated the usually hidden flows of papers from journal to journal before publication. Surprisingly, they found that papers published after having first been rejected elsewhere receive significantly more citations on average than ones accepted on first submission. There were a few other surprises as well...Nature and Science publish more papers that were initially rejected elsewhere than lower-impact journals do. So there is apparently some reason to be patient with your paper's critics — they will do you good in the end."
Peer review *does* work. Yes, part of its job is to filter out the poor papers that don't deserve publication. That's the obvious part. But I've gotten plenty of papers back with comments like "deserves publication, but X, Y, and Z need to be fixed". Or even "rejected, but if X were addressed, should be reconsidered", and so on. So, you go off and do X, Y, and Z, resubmit, and you've got a better paper because you've addressed the critical comments. Good papers are ones that incorporate constructive criticism, so it makes sense those might eventually get cited more. Also, if it's a paper that was rejected somewhere, then it might be something controversial that people want to argue about. So, publish a paper that makes a claim some people don't agree with (hence the rejection), and those critics will publish their own paper slagging the original one. Putting it another way, in order to say someone else's paper is full of crap, you have to cite it, and if a lot of people are saying it's crap, then you'll get a lot of citations :-)
Peer review isn't perfect, but the described pattern makes sense. What I'm surprised at is their ability to statistically detect these patterns given all the other variables involved, but I guess a sample size of 80000 helps.
I haven't done a lot of publishing in open literature, but many times, the papers that fly through the vetting process with little effort are are on topics that are somewhat straightforward/trivial. And would thus not be as likely to be useful as a citation. The interesting topic raises many more questions and is more likely to require multiple tries to get through the review, but ultimately is more useful and more likely to get a citation.
Brett
The summary seems to suggest that when a paper is rejected, the author edits it in hope of being less rejection-worthy the second time around.
I don't think the data provided is adequate to show that. An alternative hypothesis is that papers vary in risk and "risky papers" are more likely to both be rejected and , once approved, to be cited.
"So there is apparently some reason to be patient with your paper's critics — they will do you good in the end." I have a different possible viewpoint. The papers that are most likely to be rejected are the ones that are controversial because they challenge the status quo. But once they're accepted, they're game changers. And since they're game changers, and the first publications with the new viewpoint, they're cited disproportionately frequently by follow up work.
"So there is apparently some reason to be patient with your paper's critics — they will do you good in the end."
I have a different possible viewpoint. The papers that are most likely to be rejected are the ones that are controversial because they challenge the status quo. But once they're accepted, they're game changers. And since they're game changers, and the first publications with the new viewpoint, they're cited disproportionately frequently by follow up work.
(formatted correctly this time)
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The conclusion the journals would like you to reach, and it may explain some of the effect. Seems to me likely the larger effect is simply that papers which break new ground tend to be controversial to old guard, thus accumulate rejections, but when and if finally published they also tend to accumulate more citations as well, as even the old guard will then have to cite in their rebuttals.
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Reviews, in my experience in physics and computer science anyway, tend to be more about process than results. Did the work you do cite whomever the reviewer knows about in your field (usually not), is the process you used for your work valid, or importantly, is it clear that it is valid? Are your results understandable to someone who didn't do your particular experiment? Is your paper clear enough that an expert in the field but not your research can build on it? Admittedly I might be biased because I'm bad at explaining myself.
Reviewers aren't out to screw submitters for the fun of it, because they don't want to be screwed themselves and the whole point of research is to find new stuff. But internally when you're preparing a paper your supervisor, or your grad students or the like know what the fuck you're talking about, and someone on the outside can say something to the effect of 'this makes no sense'. "This makes no sense' by the way doesn't mean the work isn't valid, just that you might have done a terrible job trying to write about within whatever constraints your target journal has.
Journals are also becoming a bit overspecialized, and it makes it hard when you do something really high impact that isn't very narrow to know where to put it. My particular corner of the academic universe is broadly under the field of game development, but we really combine work in AI, computational social science, strategic studies and economics, and an AI journal may look at our work and feel (correctly) that it's not enough of an AI problem for them, the computational social science people will say the same thing and so on. The big dogs of Nature and Science publish things that can be cross disciplinary and that aren't (and shouldn't be) pigeon holed into a particular basket. The place I'm at has, or had at least, some really stellar computer vision and computer algebra researchers but odds are if you aren't specifically in those fields you couldn't care less what they do. That can be good work with few citations just because it's really really important to one very tiny problem. A journal rejecting you because you aren't doing enough pathfinding for their pathfinding edition doesn't mean you didn't do good work, it just means the work you didn't isn't as applicable to what they're doing.
I expect as time goes on we'll see more of this. New researchers aren't as biased by picking up a physical journal and reading it, they do internet and database searches (which are becoming much easier and much higher quality) and glue together concepts from multiple journals, but then their work may not really fit with what the previous ones did. It can be broadly interesting and broadly useful, but it's not the feeder disciplines.
If you want a good example take Quantum computing. The 'Quantum' mechanics side of the research fits in easily a dozen different journals (e.g. MRI, Laser spec, semiconductors etc) but very little of the work is meaningfully original, it's a new application of an old problem. The theory of computing side of things probably only belongs in one or two different theory of comp journals, but again, it's re-examining some of the fundamentals of computing theory in a different way and there's not much to do after the first guy does it. But they are, together very interesting.