↓ Skip to main content

Estimating Floodwater Depths from Flood Inundation Maps and Topography

Overview of attention for article published in Journal of the American Water Resources Association, November 2017
Altmetric Badge

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 (75th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

twitter
3 X users
patent
1 patent
facebook
2 Facebook pages

Citations

dimensions_citation
92 Dimensions

Readers on

mendeley
218 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Estimating Floodwater Depths from Flood Inundation Maps and Topography
Published in
Journal of the American Water Resources Association, November 2017
DOI 10.1111/1752-1688.12609
Authors

Sagy Cohen, G. Robert Brakenridge, Albert Kettner, Bradford Bates, Jonathan Nelson, Richard McDonald, Yu‐Fen Huang, Dinuke Munasinghe, Jiaqi Zhang

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 218 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 218 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 41 19%
Student > Master 30 14%
Researcher 26 12%
Student > Doctoral Student 16 7%
Student > Bachelor 11 5%
Other 33 15%
Unknown 61 28%
Readers by discipline Count As %
Engineering 51 23%
Earth and Planetary Sciences 32 15%
Environmental Science 27 12%
Agricultural and Biological Sciences 9 4%
Computer Science 3 1%
Other 14 6%
Unknown 82 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 20 February 2024.
All research outputs
#6,352,045
of 25,728,855 outputs
Outputs from Journal of the American Water Resources Association
#289
of 1,184 outputs
Outputs of similar age
#108,633
of 441,182 outputs
Outputs of similar age from Journal of the American Water Resources Association
#3
of 16 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,184 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done well, scoring higher than 75% 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 441,182 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 75% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.