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Development and Assessment of the Physically-Based 2D/1D Model “TRENOE” for Urban Stormwater Quantity and Quality Modelling

Overview of attention for article published in Water, December 2016
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

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2 Dimensions

Readers on

mendeley
10 Mendeley
Title
Development and Assessment of the Physically-Based 2D/1D Model “TRENOE” for Urban Stormwater Quantity and Quality Modelling
Published in
Water, December 2016
DOI 10.3390/w8120606
Authors

Yi Hong, Céline Bonhomme, Ghassan Chebbo

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

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 30%
Student > Master 3 30%
Lecturer 1 10%
Other 1 10%
Student > Doctoral Student 1 10%
Other 0 0%
Unknown 1 10%
Readers by discipline Count As %
Environmental Science 5 50%
Engineering 2 20%
Energy 1 10%
Business, Management and Accounting 1 10%
Unknown 1 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 December 2016.
All research outputs
#14,291,016
of 22,914,829 outputs
Outputs from Water
#2,355
of 5,530 outputs
Outputs of similar age
#229,625
of 420,678 outputs
Outputs of similar age from Water
#81
of 172 outputs
Altmetric has tracked 22,914,829 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,530 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 52% 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 420,678 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 172 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.