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A hybrid neural network based on KF-SA-Transformer for SOC prediction of lithium-ion battery energy storage systems

Overview of attention for article published in Frontiers in Energy Research, June 2024
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1 X user

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5 Mendeley
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Title
A hybrid neural network based on KF-SA-Transformer for SOC prediction of lithium-ion battery energy storage systems
Published in
Frontiers in Energy Research, June 2024
DOI 10.3389/fenrg.2024.1424204
Authors

Yifei Xiong, Qinglian Shi, Lingxu Shen, Chen Chen, Wu Lu, Cong Xu

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 5 100%
Readers by discipline Count As %
Unspecified 5 100%
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 21 June 2024.
All research outputs
#21,320,623
of 26,182,648 outputs
Outputs from Frontiers in Energy Research
#965
of 4,790 outputs
Outputs of similar age
#99,547
of 150,918 outputs
Outputs of similar age from Frontiers in Energy Research
#18
of 72 outputs
Altmetric has tracked 26,182,648 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 4,790 research outputs from this source. They receive a mean Attention Score of 1.6. This one has gotten more attention than average, scoring higher than 62% 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 150,918 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.