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MarIA and BETO are sexist: evaluating gender bias in large language models for Spanish

Overview of attention for article published in Language Resources and Evaluation, July 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#10 of 288)
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
19 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
13 Mendeley
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Title
MarIA and BETO are sexist: evaluating gender bias in large language models for Spanish
Published in
Language Resources and Evaluation, July 2023
DOI 10.1007/s10579-023-09670-3
Authors

Ismael Garrido-Muñoz, Fernando Martínez-Santiago, Arturo Montejo-Ráez

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 3 23%
Librarian 1 8%
Lecturer 1 8%
Other 1 8%
Student > Ph. D. Student 1 8%
Other 1 8%
Unknown 5 38%
Readers by discipline Count As %
Computer Science 3 23%
Social Sciences 2 15%
Arts and Humanities 1 8%
Medicine and Dentistry 1 8%
Engineering 1 8%
Other 0 0%
Unknown 5 38%
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 07 October 2023.
All research outputs
#2,151,115
of 24,578,676 outputs
Outputs from Language Resources and Evaluation
#10
of 288 outputs
Outputs of similar age
#35,425
of 337,450 outputs
Outputs of similar age from Language Resources and Evaluation
#2
of 6 outputs
Altmetric has tracked 24,578,676 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 288 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 96% 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 337,450 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 89% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.