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NEWTS1.0: Numerical model of coastal Erosion by Waves and Transgressive Scarps

Overview of attention for article published in Geoscientific Model Development, April 2024
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

blogs
1 blog
twitter
3 X users

Readers on

mendeley
1 Mendeley
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Title
NEWTS1.0: Numerical model of coastal Erosion by Waves and Transgressive Scarps
Published in
Geoscientific Model Development, April 2024
DOI 10.5194/gmd-17-3433-2024
Authors

Rose V. Palermo, J. Taylor Perron, Jason M. Soderblom, Samuel P. D. Birch, Alexander G. Hayes, Andrew D. Ashton

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 %
Unspecified 1 100%
Readers by discipline Count As %
Unspecified 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 May 2024.
All research outputs
#4,455,809
of 26,014,510 outputs
Outputs from Geoscientific Model Development
#290
of 2,176 outputs
Outputs of similar age
#41,729
of 254,496 outputs
Outputs of similar age from Geoscientific Model Development
#16
of 103 outputs
Altmetric has tracked 26,014,510 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,176 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 86% 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 254,496 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 83% of its contemporaries.
We're also able to compare this research output to 103 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.