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Numerical modeling of salt marsh morphological change induced by Hurricane Sandy

Overview of attention for article published in Coastal Engineering, February 2018
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
62 Mendeley
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Title
Numerical modeling of salt marsh morphological change induced by Hurricane Sandy
Published in
Coastal Engineering, February 2018
DOI 10.1016/j.coastaleng.2017.11.001
Authors

Kelin Hu, Qin Chen, Hongqing Wang, Ellen K. Hartig, Philip M. Orton

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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 24%
Researcher 9 15%
Student > Master 7 11%
Student > Doctoral Student 6 10%
Student > Postgraduate 3 5%
Other 5 8%
Unknown 17 27%
Readers by discipline Count As %
Engineering 14 23%
Environmental Science 12 19%
Earth and Planetary Sciences 9 15%
Agricultural and Biological Sciences 3 5%
Sports and Recreations 1 2%
Other 2 3%
Unknown 21 34%

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 21 December 2017.
All research outputs
#7,099,258
of 12,341,179 outputs
Outputs from Coastal Engineering
#185
of 310 outputs
Outputs of similar age
#165,207
of 347,063 outputs
Outputs of similar age from Coastal Engineering
#6
of 7 outputs
Altmetric has tracked 12,341,179 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 310 research outputs from this source. They receive a mean Attention Score of 3.3. 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 347,063 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.