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A blog by Ross Mounce

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Published

In a recent series of posts I’ve become fascinated with how unnecessarily fragile the scholarly communications system seems to be in 2017: Oxford University Press have failed to preserve access to the scholarly record (23-01-2017) Documenting the many failures across OUP journals (24-01-2017) Comparing OUP to other publishers (25-01-2107) As a reminder, academics literally invented the internet, I think we can and should be doing

Published

Any good scientist knows that one must have an adequate experimental control when trying to determine the significance of effects. Therefore, in order to test the significance of the 106 broken DOIs I reported at OUP yesterday, I created a comparable stratified ‘control’ sample of 21 journals NOT published by OUP that are indexed in pubmed.

Published

This morning, a PhD student asked me if I could get access to copy of: “Bayes factors unmask highly variable information content, bias, and extreme influence in phylogenomic analyses” by Jeremy M Brown and Robert C Thomson which was first published online (ahead of print) on 20th December 2016.

Published

This week I chose the papers for the Brockington Lab ‘journal club’ here at the Department of Plant Sciences, University of Cambridge (I prefer to call it the ‘weekly research round-up’ though, because good content has nothing-to-do with journals per se!). We rotate the choice of papers between each lab member every week.

Published

There are a lot of really interesting works being published over at Research Ideas and Outcomes (RIO).  If you aren’t already following the updates you can do so via RSS, Twitter, or via email (scroll to the bottom for sign-up). In this post I’m going to discuss why Chad Hammond’s contribution is so remarkable and why it could represent an exciting model for a more transparent and more immediate future of scholarly communications.

Published

This has done the rounds on Twitter a lot recently, and justifiably-so but just in case you haven’t seen it yet… I thought I’d quickly blog about this excellent graph published on a FrontiersIn blog late last year (source/credit: http://blog.frontiersin.org/2015/12/21/4782/ ) With data from 570 different journals, it appears to demonstrate that rejection rate (the percentage of papers submitted, but NOT accepted for publication at a