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Generating descriptive model for student dropout: a review of clustering approach

Overview of attention for article published in Human-centric Computing and Information Sciences, January 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)

Mentioned by

policy
1 policy source

Readers on

mendeley
157 Mendeley
Title
Generating descriptive model for student dropout: a review of clustering approach
Published in
Human-centric Computing and Information Sciences, January 2017
DOI 10.1186/s13673-016-0083-0
Authors

Natthakan Iam-On, Tossapon Boongoen

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 157 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 17%
Student > Master 26 17%
Student > Bachelor 14 9%
Lecturer 12 8%
Student > Doctoral Student 11 7%
Other 27 17%
Unknown 41 26%
Readers by discipline Count As %
Computer Science 59 38%
Engineering 16 10%
Psychology 8 5%
Social Sciences 8 5%
Business, Management and Accounting 7 4%
Other 10 6%
Unknown 49 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 01 October 2021.
All research outputs
#7,656,930
of 23,310,485 outputs
Outputs from Human-centric Computing and Information Sciences
#28
of 80 outputs
Outputs of similar age
#142,451
of 422,795 outputs
Outputs of similar age from Human-centric Computing and Information Sciences
#1
of 3 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 80 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one is in the 46th percentile – i.e., 46% 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 422,795 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 3 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