Discover and read the best of Twitter Threads about #emcrs
Most recents (2)
In the current climate I thought I would tweet more advice for researchers (esp #EMCRs) who may be stressed about the current situation & what #workingfromhome might mean for their productivity. I have already tweeted on critiquing a paper. This is for those who have data. 1/10
With no wet lab expts possible during lockdown, go thru your data thoroughly. Catch up on analysis if you are behind (a common scenario!). If you need specialised licensed software many of these have opened up public access due to #COVID19 so you can access from home. 2/10
If you haven’t already, start compiling graphs of your data. Start putting ea graph into a Fig (for thesis/manuscript). Each Fig should tell a cohesive part of your story. Look at ea Fig & decide if any data is needed to complete the Fig (more expt replicates, other expts) 3/10
@eLife piloted an exciting author-centric approach, and just reported first results! elifesciences.org/inside-elife/2…. Time to ask the big questions… What happened? Did it “work”? Is the author-centric model “better”? Who does it “help”? I’ll dive in (long tweetstorm ahead…)
What happened? @eLife trialed a model of author-centric publishing (elifesciences.org/inside-elife/2…) - this means authors choose *whether* and how to respond to peer reviews, and whether to publish based on reviews, independently of the editor or reviewers.
This means, as eLife stated at the time, “the decision to send a manuscript to external referees for peer review will be tantamount to accepting it for publication” (assuming all authors opt to publish after receiving their reviews).
