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Dynamic Modeling of Coastal Compound Flooding Hazards Due to Tides, Extratropical Storms, Waves, and Sea-Level Rise: A Case Study in the Salish Sea, Washington (USA)

Overview of attention for article published in Water, January 2024
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
8 Mendeley
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Title
Dynamic Modeling of Coastal Compound Flooding Hazards Due to Tides, Extratropical Storms, Waves, and Sea-Level Rise: A Case Study in the Salish Sea, Washington (USA)
Published in
Water, January 2024
DOI 10.3390/w16020346
Authors

Kees Nederhoff, Sean C. Crosby, Nate R. Van Arendonk, Eric E. Grossman, Babak Tehranirad, Tim Leijnse, Wouter Klessens, Patrick L. Barnard

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 38%
Researcher 2 25%
Professor > Associate Professor 1 13%
Unknown 2 25%
Readers by discipline Count As %
Business, Management and Accounting 2 25%
Engineering 2 25%
Agricultural and Biological Sciences 1 13%
Environmental Science 1 13%
Unknown 2 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 19 June 2024.
All research outputs
#16,749,676
of 26,363,900 outputs
Outputs from Water
#3,187
of 9,439 outputs
Outputs of similar age
#177,189
of 378,685 outputs
Outputs of similar age from Water
#82
of 891 outputs
Altmetric has tracked 26,363,900 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,439 research outputs from this source. They receive a mean Attention Score of 4.1. This one has gotten more attention than average, scoring higher than 63% 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 378,685 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 891 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.