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A network percolation-based contagion model of flood propagation and recession in urban road networks

Overview of attention for article published in Scientific Reports, August 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
4 news outlets
blogs
2 blogs
twitter
3 X users
reddit
1 Redditor

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
45 Mendeley
Title
A network percolation-based contagion model of flood propagation and recession in urban road networks
Published in
Scientific Reports, August 2020
DOI 10.1038/s41598-020-70524-x
Pubmed ID
Authors

Chao Fan, Xiangqi Jiang, Ali Mostafavi

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

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 22%
Student > Master 6 13%
Researcher 5 11%
Professor > Associate Professor 3 7%
Student > Bachelor 2 4%
Other 3 7%
Unknown 16 36%
Readers by discipline Count As %
Engineering 17 38%
Computer Science 4 9%
Business, Management and Accounting 3 7%
Earth and Planetary Sciences 2 4%
Arts and Humanities 1 2%
Other 3 7%
Unknown 15 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 48. 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 26 June 2021.
All research outputs
#760,311
of 23,232,430 outputs
Outputs from Scientific Reports
#8,260
of 125,589 outputs
Outputs of similar age
#23,392
of 398,691 outputs
Outputs of similar age from Scientific Reports
#254
of 3,682 outputs
Altmetric has tracked 23,232,430 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 125,589 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one has done particularly well, scoring higher than 93% 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 398,691 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 3,682 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.