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On-Line Estimation Method of Lithium-Ion Battery Health Status Based on PSO-SVM

Overview of attention for article published in Frontiers in Energy Research, July 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

Mentioned by

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2 X users

Citations

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32 Dimensions

Readers on

mendeley
34 Mendeley
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Title
On-Line Estimation Method of Lithium-Ion Battery Health Status Based on PSO-SVM
Published in
Frontiers in Energy Research, July 2021
DOI 10.3389/fenrg.2021.693249
Authors

Ran Li, Wenrui Li, Haonian Zhang, Yongqin Zhou, Weilong Tian

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 18%
Researcher 4 12%
Student > Doctoral Student 3 9%
Other 2 6%
Student > Master 1 3%
Other 1 3%
Unknown 17 50%
Readers by discipline Count As %
Engineering 9 26%
Energy 5 15%
Business, Management and Accounting 1 3%
Medicine and Dentistry 1 3%
Unspecified 1 3%
Other 0 0%
Unknown 17 50%
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 27 July 2021.
All research outputs
#18,807,229
of 23,308,124 outputs
Outputs from Frontiers in Energy Research
#768
of 3,446 outputs
Outputs of similar age
#313,835
of 433,890 outputs
Outputs of similar age from Frontiers in Energy Research
#57
of 218 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,446 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 61% 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 433,890 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 218 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.