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Accurate prediction of remaining useful life for lithium-ion battery using deep neural networks with memory features

Overview of attention for article published in Frontiers in Energy Research, March 2023
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

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3 X users

Citations

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5 Dimensions

Readers on

mendeley
8 Mendeley
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Title
Accurate prediction of remaining useful life for lithium-ion battery using deep neural networks with memory features
Published in
Frontiers in Energy Research, March 2023
DOI 10.3389/fenrg.2023.1059701
Authors

Muhammad Osama Tarar, Ijaz Haider Naqvi, Zubair Khalid, Michal Pecht

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 13%
Unknown 7 88%
Readers by discipline Count As %
Engineering 1 13%
Unknown 7 88%
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 15 April 2023.
All research outputs
#18,352,589
of 23,575,882 outputs
Outputs from Frontiers in Energy Research
#659
of 3,615 outputs
Outputs of similar age
#245,011
of 378,898 outputs
Outputs of similar age from Frontiers in Energy Research
#10
of 184 outputs
Altmetric has tracked 23,575,882 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,615 research outputs from this source. They receive a mean Attention Score of 1.7. This one has done well, scoring higher than 78% 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 378,898 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 184 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.