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A multi-task transient stability assessment method adapted to topology changes using multi-graph sample and aggregate-attention network

Overview of attention for article published in Frontiers in Energy Research, January 2024
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Title
A multi-task transient stability assessment method adapted to topology changes using multi-graph sample and aggregate-attention network
Published in
Frontiers in Energy Research, January 2024
DOI 10.3389/fenrg.2023.1321998
Authors

Lingxiang Huang, Kun Dong, Jianfeng Zhao, Kangli Liu, Cheng Jin, Xirui Guo

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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 25 January 2024.
All research outputs
#21,509,553
of 26,388,114 outputs
Outputs from Frontiers in Energy Research
#994
of 4,843 outputs
Outputs of similar age
#269,782
of 380,830 outputs
Outputs of similar age from Frontiers in Energy Research
#59
of 307 outputs
Altmetric has tracked 26,388,114 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 4,843 research outputs from this source. They receive a mean Attention Score of 1.7. This one has gotten more attention than average, scoring higher than 57% of its peers.
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 380,830 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 307 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.