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Application of signal processing techniques and intelligent classifiers for high-impedance fault detection in ensuring the reliable operation of power distribution systems

Overview of attention for article published in Frontiers in Energy Research, March 2023
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Mentioned by

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1 X user

Citations

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2 Dimensions

Readers on

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14 Mendeley
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Title
Application of signal processing techniques and intelligent classifiers for high-impedance fault detection in ensuring the reliable operation of power distribution systems
Published in
Frontiers in Energy Research, March 2023
DOI 10.3389/fenrg.2023.1114230
Authors

Rini Varghese P, M. S. P. Subathra, S. Thomas George, Nallapaneni Manoj Kumar, Easter Selvan Suviseshamuthu, Sanchari Deb

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

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 21%
Student > Ph. D. Student 2 14%
Researcher 2 14%
Professor 1 7%
Student > Master 1 7%
Other 0 0%
Unknown 5 36%
Readers by discipline Count As %
Engineering 4 29%
Unspecified 3 21%
Neuroscience 1 7%
Unknown 6 43%
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 16 April 2023.
All research outputs
#20,947,537
of 23,578,918 outputs
Outputs from Frontiers in Energy Research
#1,366
of 3,620 outputs
Outputs of similar age
#299,832
of 380,549 outputs
Outputs of similar age from Frontiers in Energy Research
#37
of 188 outputs
Altmetric has tracked 23,578,918 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 3,620 research outputs from this source. They receive a mean Attention Score of 1.7. 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 380,549 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 188 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.