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Application of Bayesian Networks to hindcast barrier island morphodynamics

Overview of attention for article published in Coastal Engineering, August 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)

Mentioned by

twitter
2 tweeters

Readers on

mendeley
48 Mendeley
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Title
Application of Bayesian Networks to hindcast barrier island morphodynamics
Published in
Coastal Engineering, August 2015
DOI 10.1016/j.coastaleng.2015.04.006
Authors

Kathleen E. Wilson, Peter N. Adams, Cheryl J. Hapke, Erika E. Lentz, Owen Brenner

Twitter Demographics

The data shown below were collected from the profiles of 2 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
Australia 1 2%
Unknown 46 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 27%
Student > Master 8 17%
Researcher 6 13%
Student > Bachelor 4 8%
Other 3 6%
Other 9 19%
Unknown 5 10%
Readers by discipline Count As %
Engineering 16 33%
Earth and Planetary Sciences 11 23%
Environmental Science 7 15%
Physics and Astronomy 2 4%
Agricultural and Biological Sciences 2 4%
Other 2 4%
Unknown 8 17%

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 07 July 2015.
All research outputs
#7,069,672
of 12,300,624 outputs
Outputs from Coastal Engineering
#185
of 311 outputs
Outputs of similar age
#108,547
of 239,821 outputs
Outputs of similar age from Coastal Engineering
#3
of 4 outputs
Altmetric has tracked 12,300,624 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 311 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 39th percentile – i.e., 39% 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 239,821 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 51% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.