↓ Skip to main content

Large Language Models and Quantitative Linguistics: Simulation within the Scientific Framework of Language

Overview of attention for article published in Journal of Quantitative Linguistics, July 2026
Altmetric Badge

About this Attention Score

  • Among the highest-scoring outputs from this source (#17 of 168)
  • High Attention Score compared to outputs of the same age (83rd percentile)

Mentioned by

twitter
6 X users
bluesky
3 Bluesky users
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Large Language Models and Quantitative Linguistics: Simulation within the Scientific Framework of Language
Published in
Journal of Quantitative Linguistics, July 2026
DOI 10.1080/09296174.2026.2695077
Authors

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 September 2026.
All research outputs
#9,193,325
of 34,437,553 outputs
Outputs from Journal of Quantitative Linguistics
#17
of 168 outputs
Outputs of similar age
#58,783
of 349,541 outputs
Outputs of similar age from Journal of Quantitative Linguistics
#1
of 3 outputs
Altmetric has tracked 34,437,553 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 168 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done well, scoring higher than 89% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 349,541 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them