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Artificial intelligence-based language learning: illuminating the impact on speaking skills and self-regulation in Chinese EFL context

Overview of attention for article published in Frontiers in Psychology, November 2023
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Mentioned by

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1 X user

Citations

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2 Dimensions

Readers on

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50 Mendeley
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Title
Artificial intelligence-based language learning: illuminating the impact on speaking skills and self-regulation in Chinese EFL context
Published in
Frontiers in Psychology, November 2023
DOI 10.3389/fpsyg.2023.1255594
Pubmed ID
Authors

Hongliang Qiao, Aruna Zhao

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 11 22%
Lecturer 6 12%
Researcher 5 10%
Student > Ph. D. Student 3 6%
Student > Bachelor 3 6%
Other 3 6%
Unknown 19 38%
Readers by discipline Count As %
Unspecified 11 22%
Arts and Humanities 4 8%
Linguistics 4 8%
Computer Science 3 6%
Social Sciences 3 6%
Other 4 8%
Unknown 21 42%
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 03 November 2023.
All research outputs
#22,172,360
of 24,742,536 outputs
Outputs from Frontiers in Psychology
#26,717
of 33,377 outputs
Outputs of similar age
#137,369
of 173,137 outputs
Outputs of similar age from Frontiers in Psychology
#212
of 397 outputs
Altmetric has tracked 24,742,536 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 33,377 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 173,137 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 397 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.