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Fast urban inundation simulation with RIM2D for flood risk assessment and forecasting

Overview of attention for article published in Frontiers in Water, March 2024
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1 X user

Readers on

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2 Mendeley
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Title
Fast urban inundation simulation with RIM2D for flood risk assessment and forecasting
Published in
Frontiers in Water, March 2024
DOI 10.3389/frwa.2024.1310182
Authors

Heiko Apel, Jakob Benisch, Björn Helm, Sergiy Vorogushyn, Bruno Merz

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

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 50%
Unknown 1 50%
Readers by discipline Count As %
Earth and Planetary Sciences 1 50%
Unknown 1 50%
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 27 March 2024.
All research outputs
#22,941,772
of 25,582,611 outputs
Outputs from Frontiers in Water
#477
of 721 outputs
Outputs of similar age
#124,515
of 157,607 outputs
Outputs of similar age from Frontiers in Water
#6
of 29 outputs
Altmetric has tracked 25,582,611 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 721 research outputs from this source. They receive a mean Attention Score of 4.4. 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 157,607 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 29 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.