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Noniterative Application of EPANET for Pressure Dependent Modelling Of Water Distribution Systems

Overview of attention for article published in Water Resources Management, April 2015
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Mentioned by

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1 X user

Citations

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Readers on

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76 Mendeley
Title
Noniterative Application of EPANET for Pressure Dependent Modelling Of Water Distribution Systems
Published in
Water Resources Management, April 2015
DOI 10.1007/s11269-015-0992-0
Authors

Mohd Abbas H. Abdy Sayyed, Rajesh Gupta, Tiku T. Tanyimboh

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 26%
Student > Master 15 20%
Researcher 4 5%
Lecturer 3 4%
Professor 3 4%
Other 6 8%
Unknown 25 33%
Readers by discipline Count As %
Engineering 35 46%
Environmental Science 6 8%
Agricultural and Biological Sciences 2 3%
Social Sciences 2 3%
Chemical Engineering 1 1%
Other 4 5%
Unknown 26 34%
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 17 April 2016.
All research outputs
#20,320,000
of 22,862,742 outputs
Outputs from Water Resources Management
#525
of 616 outputs
Outputs of similar age
#200,900
of 237,872 outputs
Outputs of similar age from Water Resources Management
#9
of 11 outputs
Altmetric has tracked 22,862,742 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 616 research outputs from this source. They receive a mean Attention Score of 4.1. 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 237,872 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 11 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.