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Fault Detection and Classification of Shunt Compensated Transmission Line Using Discrete Wavelet Transform and Naive Bayes Classifier

Overview of attention for article published in Energies, January 2020
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Mentioned by

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1 X user

Citations

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49 Dimensions

Readers on

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43 Mendeley
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Title
Fault Detection and Classification of Shunt Compensated Transmission Line Using Discrete Wavelet Transform and Naive Bayes Classifier
Published in
Energies, January 2020
DOI 10.3390/en13010243
Authors

Elhadi Aker, Mohammad Lutfi Othman, Veerapandiyan Veerasamy, Ishak bin Aris, Noor Izzri Abdul Wahab, Hashim Hizam

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

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 12%
Student > Bachelor 4 9%
Student > Doctoral Student 2 5%
Professor 2 5%
Professor > Associate Professor 2 5%
Other 5 12%
Unknown 23 53%
Readers by discipline Count As %
Engineering 9 21%
Computer Science 3 7%
Energy 3 7%
Economics, Econometrics and Finance 1 2%
Environmental Science 1 2%
Other 2 5%
Unknown 24 56%
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 12 October 2021.
All research outputs
#20,710,927
of 23,310,485 outputs
Outputs from Energies
#6,963
of 9,753 outputs
Outputs of similar age
#382,697
of 457,634 outputs
Outputs of similar age from Energies
#280
of 526 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,753 research outputs from this source. They receive a mean Attention Score of 3.1. 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 457,634 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 526 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.