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Fault diagnosis of the distribution network based on the D-S evidence theory Bayesian network

Overview of attention for article published in Frontiers in Energy Research, August 2024
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Title
Fault diagnosis of the distribution network based on the D-S evidence theory Bayesian network
Published in
Frontiers in Energy Research, August 2024
DOI 10.3389/fenrg.2024.1422639
Authors

Xiaogang Wu, Hanying Zhao, Wentao Xu, Wulue Pan, Qingfeng Ji, Xiujuan Hua

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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 09 August 2024.
All research outputs
#23,757,119
of 26,445,299 outputs
Outputs from Frontiers in Energy Research
#2,096
of 4,900 outputs
Outputs of similar age
#111,118
of 142,777 outputs
Outputs of similar age from Frontiers in Energy Research
#26
of 106 outputs
Altmetric has tracked 26,445,299 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 4,900 research outputs from this source. They receive a mean Attention Score of 1.6. 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 142,777 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 106 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.