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Prediction of University-Level Academic Performance through Machine Learning Mechanisms and Supervised Methods

Overview of attention for article published in Ingeniería, November 2022
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user

Citations

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1 Dimensions

Readers on

mendeley
26 Mendeley
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Title
Prediction of University-Level Academic Performance through Machine Learning Mechanisms and Supervised Methods
Published in
Ingeniería, November 2022
DOI 10.14483/23448393.19514
Authors

Leonardo Emiro Contreras Bravo, Nayibe Nieves-Pimiento, Karolina Gonzalez-Guerrero

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

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 8%
Librarian 1 4%
Other 1 4%
Professor 1 4%
Lecturer 1 4%
Other 2 8%
Unknown 18 69%
Readers by discipline Count As %
Computer Science 2 8%
Psychology 1 4%
Physics and Astronomy 1 4%
Medicine and Dentistry 1 4%
Engineering 1 4%
Other 0 0%
Unknown 20 77%
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 30 March 2023.
All research outputs
#17,301,727
of 25,392,582 outputs
Outputs from Ingeniería
#37
of 93 outputs
Outputs of similar age
#278,743
of 488,044 outputs
Outputs of similar age from Ingeniería
#1
of 13 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 93 research outputs from this source. They receive a mean Attention Score of 2.0. This one is in the 5th percentile – i.e., 5% 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 488,044 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 13 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.