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Predicting the Emergence of Localised Dihedral Patterns in Models for Dryland Vegetation

Overview of attention for article published in Journal of Nonlinear Science, May 2024
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#24 of 433)
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
8 X users

Readers on

mendeley
4 Mendeley
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Title
Predicting the Emergence of Localised Dihedral Patterns in Models for Dryland Vegetation
Published in
Journal of Nonlinear Science, May 2024
DOI 10.1007/s00332-024-10046-2
Authors

Dan J. Hill

Timeline

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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.
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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 25%
Unspecified 1 25%
Student > Ph. D. Student 1 25%
Lecturer 1 25%
Readers by discipline Count As %
Mathematics 2 50%
Unspecified 1 25%
Unknown 1 25%
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 31 July 2024.
All research outputs
#5,607,751
of 26,483,923 outputs
Outputs from Journal of Nonlinear Science
#24
of 433 outputs
Outputs of similar age
#77,035
of 330,103 outputs
Outputs of similar age from Journal of Nonlinear Science
#2
of 8 outputs
Altmetric has tracked 26,483,923 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 433 research outputs from this source. They receive a mean Attention Score of 1.6. This one has done particularly well, scoring higher than 94% 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 330,103 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 76% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.