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Modeling of yarn-shaped supercapacitors - Unraveling its length dependent output

Overview of attention for article published in Journal of Power Sources, March 2024
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#27 of 9,702)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
11 news outlets
blogs
1 blog

Readers on

mendeley
3 Mendeley
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Title
Modeling of yarn-shaped supercapacitors - Unraveling its length dependent output
Published in
Journal of Power Sources, March 2024
DOI 10.1016/j.jpowsour.2024.234067
Authors

Nanfei He, Xi Zhang, Junhua Song, Feng Zhao, Wei Gao

Timeline

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 67%
Student > Doctoral Student 1 33%
Readers by discipline Count As %
Energy 1 33%
Materials Science 1 33%
Chemistry 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 83. 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 08 February 2024.
All research outputs
#515,728
of 25,394,764 outputs
Outputs from Journal of Power Sources
#27
of 9,702 outputs
Outputs of similar age
#3,105
of 149,066 outputs
Outputs of similar age from Journal of Power Sources
#1
of 32 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,702 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 99% 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 149,066 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 32 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 96% of its contemporaries.