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Unpacking Epistemic Insights of Artificial Intelligence (AI) in Science Education: A Systematic Review

Overview of attention for article published in Science & Education, March 2024
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
5 X users

Readers on

mendeley
16 Mendeley
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Title
Unpacking Epistemic Insights of Artificial Intelligence (AI) in Science Education: A Systematic Review
Published in
Science & Education, March 2024
DOI 10.1007/s11191-024-00511-5
Authors

Kason Ka Ching Cheung, Yun Long, Qian Liu, Ho-Yin Chan

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 12 75%
Professor > Associate Professor 1 6%
Other 1 6%
Researcher 1 6%
Unknown 1 6%
Readers by discipline Count As %
Unspecified 12 75%
Social Sciences 2 13%
Environmental Science 1 6%
Unknown 1 6%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 18 March 2024.
All research outputs
#7,185,647
of 25,508,813 outputs
Outputs from Science & Education
#149
of 800 outputs
Outputs of similar age
#45,548
of 168,534 outputs
Outputs of similar age from Science & Education
#2
of 6 outputs
Altmetric has tracked 25,508,813 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 800 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 81% 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 168,534 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% 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.