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Development of a submerged aquatic vegetation growth model in the Coupled Ocean–Atmosphere–Wave–Sediment Transport (COAWST v3.4) model

Overview of attention for article published in Geoscientific Model Development, November 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

twitter
3 tweeters

Readers on

mendeley
16 Mendeley
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Title
Development of a submerged aquatic vegetation growth model in the Coupled Ocean–Atmosphere–Wave–Sediment Transport (COAWST v3.4) model
Published in
Geoscientific Model Development, November 2020
DOI 10.5194/gmd-13-5211-2020
Authors

Tarandeep S. Kalra, Neil K. Ganju, Jeremy M. Testa

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 19%
Student > Master 3 19%
Student > Bachelor 2 13%
Unspecified 1 6%
Lecturer > Senior Lecturer 1 6%
Other 1 6%
Unknown 5 31%
Readers by discipline Count As %
Earth and Planetary Sciences 5 31%
Unspecified 1 6%
Environmental Science 1 6%
Physics and Astronomy 1 6%
Sports and Recreations 1 6%
Other 2 13%
Unknown 5 31%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 24 May 2021.
All research outputs
#14,288,281
of 21,260,632 outputs
Outputs from Geoscientific Model Development
#1,369
of 2,425 outputs
Outputs of similar age
#249,460
of 397,913 outputs
Outputs of similar age from Geoscientific Model Development
#59
of 161 outputs
Altmetric has tracked 21,260,632 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,425 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 40th percentile – i.e., 40% 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 397,913 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 161 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.