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Measuring learning that is hard to measure: using the PECSL model to evaluate implicit smart learning

Overview of attention for article published in Smart Learning Environments, July 2022
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Mentioned by

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2 X users
facebook
1 Facebook page

Citations

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3 Dimensions

Readers on

mendeley
24 Mendeley
Title
Measuring learning that is hard to measure: using the PECSL model to evaluate implicit smart learning
Published in
Smart Learning Environments, July 2022
DOI 10.1186/s40561-022-00206-w
Authors

Pen Lister

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 17%
Student > Ph. D. Student 2 8%
Student > Doctoral Student 2 8%
Unspecified 1 4%
Lecturer 1 4%
Other 1 4%
Unknown 13 54%
Readers by discipline Count As %
Computer Science 3 13%
Social Sciences 3 13%
Nursing and Health Professions 1 4%
Arts and Humanities 1 4%
Psychology 1 4%
Other 1 4%
Unknown 14 58%
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 25 July 2022.
All research outputs
#18,936,615
of 24,133,587 outputs
Outputs from Smart Learning Environments
#161
of 196 outputs
Outputs of similar age
#291,837
of 421,642 outputs
Outputs of similar age from Smart Learning Environments
#7
of 7 outputs
Altmetric has tracked 24,133,587 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 196 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 15th percentile – i.e., 15% 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 421,642 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.