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Assessing Variability and Uncertainty in Green Infrastructure Planning Using a High-Resolution Surface-Subsurface Hydrological Model and Site-Monitored Flow Data

Overview of attention for article published in Frontiers in Built Environment, December 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
9 X users

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
65 Mendeley
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Title
Assessing Variability and Uncertainty in Green Infrastructure Planning Using a High-Resolution Surface-Subsurface Hydrological Model and Site-Monitored Flow Data
Published in
Frontiers in Built Environment, December 2018
DOI 10.3389/fbuil.2018.00071
Authors

Theodore C. Lim, Claire Welty

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users 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 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 > Ph. D. Student 15 23%
Researcher 9 14%
Student > Doctoral Student 5 8%
Student > Master 5 8%
Student > Bachelor 4 6%
Other 10 15%
Unknown 17 26%
Readers by discipline Count As %
Environmental Science 16 25%
Engineering 10 15%
Social Sciences 4 6%
Earth and Planetary Sciences 3 5%
Agricultural and Biological Sciences 2 3%
Other 5 8%
Unknown 25 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 January 2019.
All research outputs
#5,489,323
of 23,116,036 outputs
Outputs from Frontiers in Built Environment
#77
of 1,082 outputs
Outputs of similar age
#108,689
of 437,203 outputs
Outputs of similar age from Frontiers in Built Environment
#4
of 32 outputs
Altmetric has tracked 23,116,036 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,082 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done particularly well, scoring higher than 92% 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 437,203 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.