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Fault diagnosis of the HVDC system based on the CatBoost algorithm using knowledge graphs

Overview of attention for article published in Frontiers in Energy Research, March 2023
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1 X user

Readers on

mendeley
13 Mendeley
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Title
Fault diagnosis of the HVDC system based on the CatBoost algorithm using knowledge graphs
Published in
Frontiers in Energy Research, March 2023
DOI 10.3389/fenrg.2023.1144785
Authors

Jiyang Wu, Qiang Li, Qian Chen, Nan Zhang, Chizu Mao, Litai Yang, Jinyu Wang

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

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 15%
Student > Ph. D. Student 2 15%
Unspecified 1 8%
Unknown 8 62%
Readers by discipline Count As %
Engineering 3 23%
Unspecified 1 8%
Unknown 9 69%
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 03 April 2023.
All research outputs
#20,887,917
of 23,510,717 outputs
Outputs from Frontiers in Energy Research
#1,356
of 3,570 outputs
Outputs of similar age
#289,137
of 368,667 outputs
Outputs of similar age from Frontiers in Energy Research
#47
of 249 outputs
Altmetric has tracked 23,510,717 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 3,570 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 368,667 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 249 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.