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Using a support vector machine to determine loyalty in African, European, and North American telecoms

Overview of attention for article published in Research Metrics and Analytics (RMA), December 2022
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Mentioned by

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1 X user

Citations

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1 Dimensions

Readers on

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19 Mendeley
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Title
Using a support vector machine to determine loyalty in African, European, and North American telecoms
Published in
Research Metrics and Analytics (RMA), December 2022
DOI 10.3389/frma.2022.1025303
Pubmed ID
Authors

Clene Mohlala, Felix Bankole

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 11%
Student > Bachelor 2 11%
Student > Doctoral Student 1 5%
Lecturer 1 5%
Student > Postgraduate 1 5%
Other 1 5%
Unknown 11 58%
Readers by discipline Count As %
Social Sciences 3 16%
Unspecified 2 11%
Business, Management and Accounting 2 11%
Computer Science 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Other 0 0%
Unknown 10 53%
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 21 December 2022.
All research outputs
#21,317,636
of 26,180,771 outputs
Outputs from Research Metrics and Analytics (RMA)
#296
of 375 outputs
Outputs of similar age
#363,470
of 490,024 outputs
Outputs of similar age from Research Metrics and Analytics (RMA)
#11
of 21 outputs
Altmetric has tracked 26,180,771 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 375 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. 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 490,024 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 21 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.