Reading: It Can’t Be About the Numbers
How many books do we read in a year? Wouldn’t a better question be how well, how thoughtfully we had engaged with long-form content?
How many books do we read in a year? Wouldn’t a better question be how well, how thoughtfully we had engaged with long-form content?
We all know the journals market has rapidly consolidated over recent years. But where’s the data? I set out to find some numbers to put behind the common sense.
Authors can choose from a number of publication options. What drives an author to self-publish their book? What do they give up when they do?
Revisiting a post from 2017: Several services aim to gather all publications comprehensively. Who has all the content?
Librarian Cem Özel takes a look at the citation record for The Scholarly Kitchen.
It’s conference season in scholarly communications. Between them, the Scholarly Kitchen Chefs have been / will be at 9 events around the world in the 6 week stretch from early April to mid May. In a series of “Smorgasbord” posts, Chefs will share some of the key themes emerging for our sector. This week: Charlie Rapple reports from EARMA, Roy Kaufman from the London Book Fair, and David Crotty from STM.
Journal-level impact feeds academic impact, which in turn feeds broader impacts potential
A compilation of links and a video to incisive analyses of ChatGPT and what it means for the future.
Rick Anderson interviews Nick Lindsay of MIT Press about the press’s new shift+OPEN program for subscription journals that want to go OA.
In preparation for a presentation, Curtis Kendrick tried ChatGPT to see what it (they?) had to say. The results at first seemed credible, but where ChatGPT failed miserably was in the non-existent citations it provided.
A recap of a recent SSP webinar on artificial intelligence (AI) and scholarly publishing. How can this set of technologies help or harm scholarly publishing, and what are some current trends? What are the risks of AI, and what should we look out for?
After making up a false claim about a nonexistent study done by the AAAS, the AI software admitted that it made a mistake and then apologized.
Editors at The BMJ are lousy at predicting the citation performance of research papers. Or are they?
Rachel Helps, the Wikipedian-in-residence at the BYU libraries discusses the intersection of scholarly journals and Wikipedia.
In guest post, Simon Linacre of Digital Science discusses their latest state of open data survey against the backdrop of the recent OSTP memo on expanding public access to research results.