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Optimization of sampling strategy to determine pathogen removal efficacy of activated sludge treatment plant

Overview of attention for article published in Environmental Science & Pollution Research, June 2017
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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 (74th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

patent
2 patents

Citations

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6 Dimensions

Readers on

mendeley
24 Mendeley
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Title
Optimization of sampling strategy to determine pathogen removal efficacy of activated sludge treatment plant
Published in
Environmental Science & Pollution Research, June 2017
DOI 10.1007/s11356-017-9557-5
Pubmed ID
Authors

Jatinder P. S. Sidhu, Warish Ahmed, Andrew Palmer, Kylie Smith, Leonie Hodgers, Simon Toze

Abstract

Large-scale wastewater schemes rely on multi-barrier approach for the production of safe and sustainable recycled water. In multi-barrier wastewater reclamation systems, conventional activated sludge process (ASP) often constitutes a major initial treatment step. The main aim of this research was to determine most appropriate sampling approach to establish pathogen removal efficacy of ASP. The results suggest that ASP is capable of reducing human adenovirus (HAdV) and polyomavirus (HPyV) by up to 3 log10. The virus removal data suggests that HAdV removal is comparable to somatic bacteriophage belonging to Microviridae family. Due to the high removal of Escherichia coli (>3 log10) and very poor correlation with the enteric virus, it is not recommended that E. coli be used as a surrogate for enteric virus removal. The results also demonstrated no statistically significant differences (t test, P > 0.05) in calculated log removal values (LRVs) for HAdV, HPyV, and Microviridae from samples collected on hydraulic retention time (HRT) or simultaneous paired samples collected for influent and effluent. This indicates that a more practical approach of simultaneous sampling for influent and effluent could be used to determine pathogen removal efficiency of ASP. The results also suggest that a minimum of 10, preferably 20 samples, are required to fully capture variability in the removal of virus. In order to cover for the potential seasonal prevalence of viruses such as norovirus and rotavirus, sampling should be spread across all seasons.

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 29%
Student > Ph. D. Student 6 25%
Student > Master 2 8%
Student > Bachelor 1 4%
Lecturer 1 4%
Other 1 4%
Unknown 6 25%
Readers by discipline Count As %
Environmental Science 5 21%
Agricultural and Biological Sciences 4 17%
Engineering 3 13%
Biochemistry, Genetics and Molecular Biology 1 4%
Earth and Planetary Sciences 1 4%
Other 3 13%
Unknown 7 29%

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 22 May 2019.
All research outputs
#2,895,935
of 15,077,480 outputs
Outputs from Environmental Science & Pollution Research
#397
of 4,630 outputs
Outputs of similar age
#68,618
of 267,526 outputs
Outputs of similar age from Environmental Science & Pollution Research
#11
of 179 outputs
Altmetric has tracked 15,077,480 research outputs across all sources so far. Compared to these this one has done well and is in the 77th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,630 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done particularly well, scoring higher than 90% 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 267,526 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 74% of its contemporaries.
We're also able to compare this research output to 179 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.