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Machine learning for optimal electrode wettability in lithium ion batteries

Overview of attention for article published in Journal of Power Sources Advances, March 2023
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)

Mentioned by

twitter
5 X users

Readers on

mendeley
45 Mendeley
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Article details
Title
Machine learning for optimal electrode wettability in lithium ion batteries
Published in
Journal of Power Sources Advances, March 2023
DOI 10.1016/j.powera.2023.100114
Authors

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 8 18%
Researcher 8 18%
Lecturer 2 4%
Other 1 2%
Student > Bachelor 1 2%
Other 2 4%
Unknown 23 51%
Readers by discipline
Readers by discipline Count As %
Chemical Engineering 6 13%
Materials Science 5 11%
Chemistry 2 4%
Engineering 2 4%
Computer Science 1 2%
Other 3 7%
Unknown 26 58%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 11 April 2023.
All research outputs
#8,429,499
of 25,992,468 outputs
Outputs from Journal of Power Sources Advances
#1
of 1 outputs
Outputs of similar age
#145,271
of 427,413 outputs
Outputs of similar age from Journal of Power Sources Advances
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 3.4. This one scored the same or higher as 0 of them.
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 427,413 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them