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The use of data science for education: The case of social-emotional learning

Overview of attention for article published in Smart Learning Environments, January 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#27 of 210)
  • High Attention Score compared to outputs of the same age (85th percentile)

Mentioned by

twitter
16 X users

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
148 Mendeley
Title
The use of data science for education: The case of social-emotional learning
Published in
Smart Learning Environments, January 2017
DOI 10.1186/s40561-016-0040-4
Authors

Ming-Chi Liu, Yueh-Min Huang

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Unknown 147 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 17%
Student > Master 24 16%
Student > Doctoral Student 14 9%
Researcher 10 7%
Lecturer 10 7%
Other 30 20%
Unknown 35 24%
Readers by discipline Count As %
Computer Science 44 30%
Social Sciences 26 18%
Psychology 12 8%
Business, Management and Accounting 5 3%
Arts and Humanities 5 3%
Other 21 14%
Unknown 35 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 08 September 2019.
All research outputs
#3,311,077
of 24,960,237 outputs
Outputs from Smart Learning Environments
#27
of 210 outputs
Outputs of similar age
#64,348
of 433,039 outputs
Outputs of similar age from Smart Learning Environments
#1
of 1 outputs
Altmetric has tracked 24,960,237 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 210 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has done well, scoring higher than 87% 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 433,039 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 85% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them