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Combining Numerical and Statistical Models to Predict Storm‐Induced Dune Erosion

Overview of attention for article published in JOURNAL OF GEOPHYSICAL RESEARCH: EARTH SURFACE, July 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
11 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
27 Mendeley
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Title
Combining Numerical and Statistical Models to Predict Storm‐Induced Dune Erosion
Published in
JOURNAL OF GEOPHYSICAL RESEARCH: EARTH SURFACE, July 2019
DOI 10.1029/2019jf005016
Authors

V. M. Santos, T. Wahl, J. W. Long, D. L. Passeri, N. G. Plant

Twitter Demographics

The data shown below were collected from the profiles of 11 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 22%
Student > Doctoral Student 3 11%
Student > Bachelor 3 11%
Student > Master 2 7%
Researcher 2 7%
Other 2 7%
Unknown 9 33%
Readers by discipline Count As %
Engineering 7 26%
Earth and Planetary Sciences 5 19%
Environmental Science 3 11%
Agricultural and Biological Sciences 1 4%
Computer Science 1 4%
Other 0 0%
Unknown 10 37%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 28 September 2019.
All research outputs
#2,530,703
of 15,928,138 outputs
Outputs from JOURNAL OF GEOPHYSICAL RESEARCH: EARTH SURFACE
#169
of 673 outputs
Outputs of similar age
#58,975
of 265,503 outputs
Outputs of similar age from JOURNAL OF GEOPHYSICAL RESEARCH: EARTH SURFACE
#14
of 49 outputs
Altmetric has tracked 15,928,138 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 673 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one has gotten more attention than average, scoring higher than 74% 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 265,503 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 49 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 71% of its contemporaries.