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A learning style classification approach based on deep belief network for large-scale online education

Overview of attention for article published in Journal of Cloud Computing, May 2020
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Mentioned by

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1 X user

Citations

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40 Dimensions

Readers on

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162 Mendeley
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Title
A learning style classification approach based on deep belief network for large-scale online education
Published in
Journal of Cloud Computing, May 2020
DOI 10.1186/s13677-020-00165-y
Authors

Hao Zhang, Tao Huang, Sanya Liu, Hao Yin, Jia Li, Huali Yang, Yu Xia

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

Geographical breakdown

Country Count As %
Unknown 162 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 21 13%
Student > Ph. D. Student 15 9%
Student > Bachelor 13 8%
Student > Master 10 6%
Researcher 7 4%
Other 25 15%
Unknown 71 44%
Readers by discipline Count As %
Computer Science 32 20%
Engineering 10 6%
Social Sciences 10 6%
Arts and Humanities 5 3%
Linguistics 4 2%
Other 20 12%
Unknown 81 50%
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 May 2020.
All research outputs
#18,724,612
of 23,208,901 outputs
Outputs from Journal of Cloud Computing
#152
of 256 outputs
Outputs of similar age
#294,153
of 389,743 outputs
Outputs of similar age from Journal of Cloud Computing
#6
of 17 outputs
Altmetric has tracked 23,208,901 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 256 research outputs from this source. They receive a mean Attention Score of 2.1. This one is in the 1st percentile – i.e., 1% 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 389,743 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.