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Students are using large language models and AI detectors can often detect their use

Overview of attention for article published in Frontiers in Education, June 2024
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Readers on

mendeley
8 Mendeley
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Title
Students are using large language models and AI detectors can often detect their use
Published in
Frontiers in Education, June 2024
DOI 10.3389/feduc.2024.1374889
Authors

Timothy Paustian, Betty Slinger

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 25%
Professor 2 25%
Lecturer 1 13%
Student > Postgraduate 1 13%
Student > Doctoral Student 1 13%
Other 0 0%
Unknown 1 13%
Readers by discipline Count As %
Unspecified 2 25%
Computer Science 2 25%
Agricultural and Biological Sciences 1 13%
Psychology 1 13%
Engineering 1 13%
Other 0 0%
Unknown 1 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 04 July 2024.
All research outputs
#17,925,611
of 26,243,859 outputs
Outputs from Frontiers in Education
#1,504
of 3,545 outputs
Outputs of similar age
#121,684
of 242,314 outputs
Outputs of similar age from Frontiers in Education
#17
of 56 outputs
Altmetric has tracked 26,243,859 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,545 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 54% 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 242,314 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.