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Prediction of Student’s performance by modelling small dataset size

Overview of attention for article published in International Journal of Educational Technology in Higher Education, August 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)

Mentioned by

twitter
8 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
184 Mendeley
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Title
Prediction of Student’s performance by modelling small dataset size
Published in
International Journal of Educational Technology in Higher Education, August 2019
DOI 10.1186/s41239-019-0160-3
Authors

Lubna Mahmoud Abu Zohair

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 184 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 184 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 25 14%
Student > Bachelor 19 10%
Student > Ph. D. Student 18 10%
Lecturer 13 7%
Student > Doctoral Student 13 7%
Other 39 21%
Unknown 57 31%
Readers by discipline Count As %
Computer Science 67 36%
Engineering 16 9%
Social Sciences 9 5%
Business, Management and Accounting 8 4%
Mathematics 4 2%
Other 17 9%
Unknown 63 34%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 28 September 2020.
All research outputs
#5,058,623
of 19,020,628 outputs
Outputs from International Journal of Educational Technology in Higher Education
#250
of 284 outputs
Outputs of similar age
#89,321
of 273,783 outputs
Outputs of similar age from International Journal of Educational Technology in Higher Education
#1
of 1 outputs
Altmetric has tracked 19,020,628 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 284 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.1. This one is in the 11th percentile – i.e., 11% 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 273,783 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 67% 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