TL;DR: peer-review times appear to have been growing for a long time. The effects of COVID-lockdowns on peer-review are surprising. A few months ago, I was invited to referee a research paper. So, I guess the editor thought that I was one of the 2 best people in the entire world to review this thing. That’s how it works, right? Flattered, I flagged the editor’s email to signal its importance and I got straight to work!
The Papermill Alarm draws a line between papers which have the characteristics of papermill-products and those that don’t. Given data like that shown below, where red dots represent papermill-products and green dots represent normal papers, where should we draw that line?
Recently, I gave a presentation on the APIs for Papermill Detection offered by Clear Skies Ltd. I also touch on a newer service called the Clear Skies Standard Report. More on that in future posts… :) Here’s the video: https://medium.com/media/ee5a04aaed9fc53d2748e64516178ebe/href Would you like to know more?
TL;DR: Join me at ConTech Live to hear about a recent project with Open Credo to see if we could detect unusual co-authorships in a dataset created by Anna Abalkina. Sign up here! Papermilling has a few definitions which you see here and there.
