Interesting descriptive comparison of Google Scholar (GS), Microsoft Academic, Scopus, Dimensions, Web of Science, and OpenCitations citation data
https://rdcu.be/dtAQu
Reference sample:
top-10 most cited documents in GS in 2006 across 252 subjects.
In the joint set of citations, none of the non-GS databases covers more than 47% (most substantially less!) of citations in Humanities, Arts, Literature, Social Sciences, Business, Economics, Management.
Just saw that the one and only Marek Gagolewski (stringi package) published two books on data analysis.
#rstats
https://deepr.gagolewski.com/index.html
#python
https://datawranglingpy.gagolewski.com/
There's a free html / pdf version and the books are sold at a minimal cost since its non-profit project... 👏 👏
ty to @karstengweinert
Deep R Programming is a comprehensive and in-depth introductory course on one of the most popular languages for data science. It equips ambitious students, professionals, and researchers with the knowledge and skills to become independent users of this potent environment so that they can tackle any problem related to data wrangling and analytics, numerical computing, statistics, and machine learning. This textbook is a non-profit project. Its online and PDF versions are freely available at https://deepr.gagolewski.com/.
Analysis of UK higher education sector finances puts numbers on what everybody must know
"We are punishing providers for failures of marketing, while turning a blind eye to failures in the student experience"
from David Kernohan
📣 Academic Journals are Broken, Let’s Build a Better Scientific Record
Open symposium
12:00 May 2
Featuring:
The papermill problem @deevybee
The impossibility of correcting the scientific record @jamesheathers
Publishers make immoral profits from taxpayer funding @brembs
The end of standard peer review @neuralreckoning
Preprints and community publishing @chrisdc77
How research assessment is already changing @lizziegadd
One piece of slang that has long embodied the short attention span Internet age is TL;DR, short for “too long; didn’t read.” With the explosion of generative AI tools, we’re rapidly entering the age of TL;DW: “too long, didn’t write.” A January survey from Fishbowl found that 40% of nearly 12,000 workers have used ChatGPT
Jan R. Boehnke
JC
Roland Schmidt
Tom Stafford
Jess Butler
The Oatmeal
nixCraft 🐧
Jon Worth
Glyph