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Subducting plate structure and megathrust morphology from deep seismic imaging linked to earthquake rupture segmentation at Cascadia

Overview of attention for article published in Science Advances, June 2024
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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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
69 news outlets
blogs
5 blogs
twitter
43 X users
facebook
3 Facebook pages
reddit
2 Redditors

Readers on

mendeley
14 Mendeley
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Title
Subducting plate structure and megathrust morphology from deep seismic imaging linked to earthquake rupture segmentation at Cascadia
Published in
Science Advances, June 2024
DOI 10.1126/sciadv.adl3198
Pubmed ID
Authors

Suzanne M. Carbotte, Brian Boston, Shuoshuo Han, Brandon Shuck, Jeffrey Beeson, J. Pablo Canales, Harold Tobin, Nathan Miller, Mladen Nedimovic, Anne Tréhu, Michelle Lee, Madelaine Lucas, Hanchao Jian, Danqi Jiang, Liam Moser, Chris Anderson, Darren Judd, Jaime Fernandez, Chuck Campbell, Antara Goswami, Rajendra Gahlawat

X Demographics

X Demographics

The data shown below were collected from the profiles of 43 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 43%
Student > Ph. D. Student 5 36%
Professor > Associate Professor 1 7%
Unknown 2 14%
Readers by discipline Count As %
Earth and Planetary Sciences 9 64%
Engineering 1 7%
Unknown 4 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 601. 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 15 August 2024.
All research outputs
#40,565
of 26,491,309 outputs
Outputs from Science Advances
#541
of 13,217 outputs
Outputs of similar age
#585
of 316,235 outputs
Outputs of similar age from Science Advances
#11
of 529 outputs
Altmetric has tracked 26,491,309 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,217 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 118.6. 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 316,235 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 99% of its contemporaries.
We're also able to compare this research output to 529 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 97% of its contemporaries.