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Large models of what? Mistaking engineering achievements for human linguistic agency

Overview of attention for article published in Language Sciences, November 2024
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#15 of 314)
  • High Attention Score compared to outputs of the same age (96th percentile)

Mentioned by

news
1 news outlet
twitter
10 X users
facebook
2 Facebook pages
wikipedia
1 Wikipedia page

Readers on

mendeley
9 Mendeley
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Title
Large models of what? Mistaking engineering achievements for human linguistic agency
Published in
Language Sciences, November 2024
DOI 10.1016/j.langsci.2024.101672
Authors

Abeba Birhane, Marek McGann

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 22%
Professor 1 11%
Student > Master 1 11%
Lecturer 1 11%
Student > Ph. D. Student 1 11%
Other 0 0%
Unknown 3 33%
Readers by discipline Count As %
Computer Science 3 33%
Social Sciences 2 22%
Linguistics 1 11%
Unknown 3 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 13 September 2024.
All research outputs
#2,400,608
of 26,241,678 outputs
Outputs from Language Sciences
#15
of 314 outputs
Outputs of similar age
#1,091
of 14,683 outputs
Outputs of similar age from Language Sciences
#1
of 1 outputs
Altmetric has tracked 26,241,678 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 314 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 10.0. This one has done particularly well, scoring higher than 95% 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 14,683 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 1 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