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Modeling Marsh Dynamics Using a 3-D Coupled Wave-Flow-Sediment Model

Overview of attention for article published in Frontiers in Marine Science, November 2021
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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4 X users

Citations

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12 Dimensions

Readers on

mendeley
22 Mendeley
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Title
Modeling Marsh Dynamics Using a 3-D Coupled Wave-Flow-Sediment Model
Published in
Frontiers in Marine Science, November 2021
DOI 10.3389/fmars.2021.740921
Authors

Tarandeep S. Kalra, Neil K. Ganju, Alfredo L. Aretxabaleta, Joel A. Carr, Zafer Defne, Julia M. Moriarty

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 27%
Researcher 4 18%
Other 3 14%
Student > Master 2 9%
Student > Postgraduate 1 5%
Other 0 0%
Unknown 6 27%
Readers by discipline Count As %
Earth and Planetary Sciences 7 32%
Environmental Science 3 14%
Engineering 3 14%
Agricultural and Biological Sciences 1 5%
Unknown 8 36%
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 11 May 2022.
All research outputs
#15,155,790
of 23,310,485 outputs
Outputs from Frontiers in Marine Science
#5,480
of 8,830 outputs
Outputs of similar age
#233,615
of 440,489 outputs
Outputs of similar age from Frontiers in Marine Science
#325
of 558 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,830 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
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 440,489 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 558 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.