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Learn to Machine Learn via Games in the Classroom

Overview of attention for article published in Frontiers in Education, June 2022
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

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2 Dimensions

Readers on

mendeley
72 Mendeley
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Title
Learn to Machine Learn via Games in the Classroom
Published in
Frontiers in Education, June 2022
DOI 10.3389/feduc.2022.913530
Authors

Marvin Zammit, Iro Voulgari, Antonios Liapis, Georgios N. Yannakakis

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 9 13%
Student > Master 9 13%
Student > Doctoral Student 7 10%
Lecturer 7 10%
Professor > Associate Professor 4 6%
Other 7 10%
Unknown 29 40%
Readers by discipline Count As %
Social Sciences 15 21%
Unspecified 9 13%
Design 5 7%
Engineering 4 6%
Business, Management and Accounting 3 4%
Other 7 10%
Unknown 29 40%
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 19 June 2022.
All research outputs
#17,686,611
of 22,707,247 outputs
Outputs from Frontiers in Education
#1,113
of 2,145 outputs
Outputs of similar age
#291,452
of 439,455 outputs
Outputs of similar age from Frontiers in Education
#124
of 281 outputs
Altmetric has tracked 22,707,247 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,145 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 42nd percentile – i.e., 42% 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 439,455 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 281 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.