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Data-driven modal analysis of nonlinear quantities in turbulent plasmas using multi-field singular value decomposition

Overview of attention for article published in Plasma Physics & Controlled Fusion, August 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

twitter
8 X users

Readers on

mendeley
1 Mendeley
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Title
Data-driven modal analysis of nonlinear quantities in turbulent plasmas using multi-field singular value decomposition
Published in
Plasma Physics & Controlled Fusion, August 2023
DOI 10.1088/1361-6587/ace993
Authors

Go Yatomi, Motoki Nakata, Makoto Sasaki

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 100%
Readers by discipline Count As %
Physics and Astronomy 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 14 September 2023.
All research outputs
#5,329,253
of 25,478,886 outputs
Outputs from Plasma Physics & Controlled Fusion
#72
of 1,805 outputs
Outputs of similar age
#88,496
of 359,424 outputs
Outputs of similar age from Plasma Physics & Controlled Fusion
#1
of 14 outputs
Altmetric has tracked 25,478,886 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,805 research outputs from this source. They receive a mean Attention Score of 1.6. This one has done particularly well, scoring higher than 96% 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 359,424 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 14 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.