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Overcoming data scarcity in flood hazard assessment using remote sensing and artificial neural network

Overview of attention for article published in Smart Water, January 2019
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Mentioned by

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1 X user

Citations

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21 Dimensions

Readers on

mendeley
47 Mendeley
Title
Overcoming data scarcity in flood hazard assessment using remote sensing and artificial neural network
Published in
Smart Water, January 2019
DOI 10.1186/s40713-018-0014-5
Authors

Dong-Eon Kim, Philippe Gourbesville, Shie-Yui Liong

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 17%
Student > Ph. D. Student 6 13%
Researcher 5 11%
Student > Bachelor 2 4%
Lecturer 1 2%
Other 4 9%
Unknown 21 45%
Readers by discipline Count As %
Engineering 10 21%
Earth and Planetary Sciences 6 13%
Environmental Science 4 9%
Agricultural and Biological Sciences 1 2%
Chemical Engineering 1 2%
Other 3 6%
Unknown 22 47%
Attention Score in Context

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 22 March 2019.
All research outputs
#20,550,733
of 23,124,001 outputs
Outputs from Smart Water
#15
of 16 outputs
Outputs of similar age
#372,104
of 438,322 outputs
Outputs of similar age from Smart Water
#2
of 2 outputs
Altmetric has tracked 23,124,001 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 16 research outputs from this source. They receive a mean Attention Score of 3.3. This one scored the same or higher as 1 of them.
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 438,322 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.