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A predictive model for the identification of learning styles in MOOC environments

Overview of attention for article published in Cluster Computing, October 2019
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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1 X user

Citations

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48 Dimensions

Readers on

mendeley
95 Mendeley
Title
A predictive model for the identification of learning styles in MOOC environments
Published in
Cluster Computing, October 2019
DOI 10.1007/s10586-019-02992-4
Authors

Brahim Hmedna, Ali El Mezouary, Omar Baz

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 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 95 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 15%
Lecturer 11 12%
Researcher 9 9%
Student > Master 7 7%
Student > Bachelor 6 6%
Other 17 18%
Unknown 31 33%
Readers by discipline Count As %
Computer Science 27 28%
Social Sciences 9 9%
Engineering 5 5%
Mathematics 4 4%
Psychology 2 2%
Other 10 11%
Unknown 38 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 13 October 2019.
All research outputs
#15,583,959
of 23,168,000 outputs
Outputs from Cluster Computing
#180
of 279 outputs
Outputs of similar age
#217,711
of 353,809 outputs
Outputs of similar age from Cluster Computing
#4
of 6 outputs
Altmetric has tracked 23,168,000 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 279 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 19th percentile – i.e., 19% 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 353,809 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
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 2 of them.