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Decoupling piezoelectric and triboelectric signals from PENGs using the fast fourier transform

Overview of attention for article published in Nano Energy, June 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
5 news outlets
blogs
2 blogs
twitter
14 X users

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
15 Mendeley
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Title
Decoupling piezoelectric and triboelectric signals from PENGs using the fast fourier transform
Published in
Nano Energy, June 2023
DOI 10.1016/j.nanoen.2023.108445
Authors

Ronald T. Leon, Peter C. Sherrell, Andris Šutka, Amanda V. Ellis

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 13%
Researcher 1 7%
Lecturer 1 7%
Student > Master 1 7%
Unknown 10 67%
Readers by discipline Count As %
Engineering 2 13%
Environmental Science 1 7%
Chemistry 1 7%
Materials Science 1 7%
Unknown 10 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 56. 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 November 2023.
All research outputs
#785,122
of 25,983,475 outputs
Outputs from Nano Energy
#107
of 2,352 outputs
Outputs of similar age
#16,375
of 395,398 outputs
Outputs of similar age from Nano Energy
#2
of 49 outputs
Altmetric has tracked 25,983,475 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,352 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one has done particularly well, scoring higher than 95% 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 395,398 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 95% of its contemporaries.
We're also able to compare this research output to 49 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 95% of its contemporaries.