I have a preprint out estimating how many scholarly papers are written using chatGPT etc? I estimate upwards of 60k articles (>1% of global output) published in 2023. https://arxiv.org/abs/2403.16887
How can we identify this? Simple: there are certain words that LLMs love, and they suddenly start showing up a lot last year. Twice as many papers call something "intricate", big rises for "commendable" and "meticulous".
The AI Index Report tracks, collates, distills, and visualizes data related to artificial intelligence. .. The report aims to be the world’s most credible and authoritative source for data and insights about AI.
This is a great, well-sourced 386 page monograph, comparable to an almanac in its comprehensiveness.
There are Youtube videos available discussing the findings at great length.
Dear fellow #SystematicReview enthusiasts, #Bibliometrics experts, #librarians, and other people who work regularly with bibliographic databases (e.g. PsycINFO, EmBase, PubMed, etc) and interfaces (e.g. by Ovid, Ebsco, etc) 👋
Our library recently decided to discontinue licenses for EmBase, Cinahl, and Cochrane.
What I missed when deciding is an overview of overlap between these databases and others (e.g. PubMed).
Journal performance beyond the #ImpactFactor. Cristina Huidiu at Elsevier (a former librarian) says responsible use of metrics - article metrics, journal metrics, & #altmetrics - can be business indicators to help publishers to make decisions.
Can get insights into impact beyond citations and trends in fields, from patents and funding.
Collaboration patterns of existing authors can show new directions of their work.
Update. This qualification applies to all the studies I've collected in this thread: "Different research does not understand the concepts of 'man/woman' and 'male/female' in the same way, and there is no discussion nor written consensus on how to tackle these issues ethically and correctly within #Bibliometrics." https://digibug.ugr.es/bitstream/handle/10481/88251/Gender1.pdf
Another qualification: Most of these studies determine the sex/gender of authors by using software that makes guesses based on their names.