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Prediction of Maximum Flood Inundation Extents With Resilient Backpropagation Neural Network: Case Study of Kulmbach

Overview of attention for article published in Frontiers in Earth Science, August 2020
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1 X user

Citations

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Title
Prediction of Maximum Flood Inundation Extents With Resilient Backpropagation Neural Network: Case Study of Kulmbach
Published in
Frontiers in Earth Science, August 2020
DOI 10.3389/feart.2020.00332
Authors

Qing Lin, Jorge Leandro, Wenrong Wu, Punit Bhola, Markus Disse

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 12%
Researcher 6 9%
Student > Bachelor 5 8%
Student > Ph. D. Student 5 8%
Student > Doctoral Student 2 3%
Other 9 14%
Unknown 30 46%
Readers by discipline Count As %
Engineering 13 20%
Earth and Planetary Sciences 6 9%
Environmental Science 4 6%
Computer Science 3 5%
Business, Management and Accounting 2 3%
Other 5 8%
Unknown 32 49%
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 05 August 2020.
All research outputs
#20,635,653
of 23,228,787 outputs
Outputs from Frontiers in Earth Science
#3,150
of 4,817 outputs
Outputs of similar age
#341,226
of 398,782 outputs
Outputs of similar age from Frontiers in Earth Science
#131
of 188 outputs
Altmetric has tracked 23,228,787 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 4,817 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 1st percentile – i.e., 1% 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 398,782 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 188 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.