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Multi-Mode Surface Generalization Supports a Detailed Urban Flooding Simulation Model

Overview of attention for article published in Frontiers in Earth Science, March 2021
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Mentioned by

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1 X user

Citations

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4 Dimensions

Readers on

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12 Mendeley
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Title
Multi-Mode Surface Generalization Supports a Detailed Urban Flooding Simulation Model
Published in
Frontiers in Earth Science, March 2021
DOI 10.3389/feart.2021.540473
Authors

Mei Xu, Yonghui Yao, Shu Liu, Yang Sun, Yuexin Yan

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 8%
Student > Doctoral Student 1 8%
Student > Ph. D. Student 1 8%
Researcher 1 8%
Professor > Associate Professor 1 8%
Other 0 0%
Unknown 7 58%
Readers by discipline Count As %
Engineering 2 17%
Arts and Humanities 1 8%
Earth and Planetary Sciences 1 8%
Environmental Science 1 8%
Unknown 7 58%
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 02 April 2021.
All research outputs
#20,701,376
of 23,301,510 outputs
Outputs from Frontiers in Earth Science
#3,167
of 4,862 outputs
Outputs of similar age
#366,036
of 431,290 outputs
Outputs of similar age from Frontiers in Earth Science
#215
of 334 outputs
Altmetric has tracked 23,301,510 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 4,862 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 431,290 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 334 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.