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A Bayesian network model to assess the public health risk associated with wet weather sewer overflows discharging into waterways

Overview of attention for article published in Water Research, October 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

policy
1 policy source

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
52 Mendeley
citeulike
1 CiteULike
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Title
A Bayesian network model to assess the public health risk associated with wet weather sewer overflows discharging into waterways
Published in
Water Research, October 2012
DOI 10.1016/j.watres.2012.03.044
Pubmed ID
Authors

R. Goulding, N. Jayasuriya, E. Horan

Abstract

Overflows from sanitary sewers during wet weather, which occur when the hydraulic capacity of the sewer system is exceeded, are considered a potential threat to the ecological and public health of the waterways which receive these overflows. As a result, water retailers in Australia and internationally commit significant resources to manage and abate sewer overflows. However, whilst some studies have contributed to an increased understanding of the impacts and risks associated with these events, they are relatively few in number and there still is a general lack of knowledge in this area. A Bayesian network model to assess the public health risk associated with wet weather sewer overflows is presented in this paper. The Bayesian network approach is shown to provide significant benefits in the assessment of public health risks associated with wet weather sewer overflows. In particular, the ability for the model to account for the uncertainty inherent in sewer overflow events and subsequent impacts through the use of probabilities is a valuable function. In addition, the paper highlights the benefits of the probabilistic inference function of the Bayesian network in prioritising management options to minimise public health risks associated with sewer overflows.

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
United Kingdom 1 2%
Ireland 1 2%
Canada 1 2%
Mexico 1 2%
Netherlands 1 2%
Unknown 45 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 27%
Researcher 10 19%
Student > Master 8 15%
Student > Bachelor 6 12%
Lecturer 5 10%
Other 6 12%
Unknown 3 6%
Readers by discipline Count As %
Engineering 21 40%
Environmental Science 12 23%
Computer Science 5 10%
Mathematics 3 6%
Agricultural and Biological Sciences 2 4%
Other 5 10%
Unknown 4 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 September 2012.
All research outputs
#4,547,599
of 14,775,695 outputs
Outputs from Water Research
#1,670
of 7,253 outputs
Outputs of similar age
#69,488
of 232,502 outputs
Outputs of similar age from Water Research
#10
of 63 outputs
Altmetric has tracked 14,775,695 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,253 research outputs from this source. They receive a mean Attention Score of 3.8. This one has gotten more attention than average, scoring higher than 50% 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 232,502 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.