↓ Skip to main content

Stormwater control impacts on runoff volume and peak flow: A meta‐analysis of watershed modelling studies

Overview of attention for article published in Hydrological Processes, May 2020
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
29 X users

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
68 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Stormwater control impacts on runoff volume and peak flow: A meta‐analysis of watershed modelling studies
Published in
Hydrological Processes, May 2020
DOI 10.1002/hyp.13784
Authors

Colin D. Bell, Jordyn M. Wolfand, Chelsea L. Panos, Aditi S. Bhaskar, Ryan L. Gilliom, Terri S. Hogue, Kristina G. Hopkins, Anne J. Jefferson

X Demographics

X Demographics

The data shown below were collected from the profiles of 29 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 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 68 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 19%
Researcher 11 16%
Student > Master 9 13%
Student > Doctoral Student 3 4%
Professor > Associate Professor 3 4%
Other 4 6%
Unknown 25 37%
Readers by discipline Count As %
Engineering 17 25%
Environmental Science 8 12%
Agricultural and Biological Sciences 4 6%
Earth and Planetary Sciences 3 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Other 2 3%
Unknown 33 49%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 17 April 2022.
All research outputs
#1,856,292
of 24,379,758 outputs
Outputs from Hydrological Processes
#78
of 2,039 outputs
Outputs of similar age
#50,291
of 399,817 outputs
Outputs of similar age from Hydrological Processes
#7
of 44 outputs
Altmetric has tracked 24,379,758 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,039 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 96% 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 399,817 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 87% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.