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Quantifying nitrous oxide production pathways in wastewater treatment systems using isotope technology – A critical review

Overview of attention for article published in Water Research, May 2017
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2 X users

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Title
Quantifying nitrous oxide production pathways in wastewater treatment systems using isotope technology – A critical review
Published in
Water Research, May 2017
DOI 10.1016/j.watres.2017.05.054
Pubmed ID
Authors

Haoran Duan, Liu Ye, Dirk Erler, Bing-Jie Ni, Zhiguo Yuan

Abstract

Nitrous oxide (N2O) is an important greenhouse gas and an ozone-depleting substance which can be emitted from wastewater treatment systems (WWTS) causing significant environmental impacts. Understanding the N2O production pathways and their contribution to total emissions is the key to effective mitigation. Isotope technology is a promising method that has been applied to WWTS for quantifying the N2O production pathways. Within the scope of WWTS, this article reviews the current status of different isotope approaches, including both natural abundance and labelled isotope approaches, to N2O production pathways quantification. It identifies the limitations and potential problems with these approaches, as well as improvement opportunities. We conclude that, while the capabilities of isotope technology have been largely recognized, the quantification of N2O production pathways with isotope technology in WWTS require further improvement, particularly in relation to its accuracy and reliability.

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X Demographics

The data shown below were collected from the profiles of 2 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 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 145 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 19%
Student > Master 22 15%
Researcher 20 14%
Other 8 6%
Student > Bachelor 8 6%
Other 17 12%
Unknown 42 29%
Readers by discipline Count As %
Environmental Science 38 26%
Engineering 20 14%
Chemical Engineering 9 6%
Agricultural and Biological Sciences 8 6%
Biochemistry, Genetics and Molecular Biology 5 3%
Other 10 7%
Unknown 55 38%
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 07 June 2017.
All research outputs
#19,951,180
of 25,382,440 outputs
Outputs from Water Research
#7,639
of 11,876 outputs
Outputs of similar age
#237,344
of 327,782 outputs
Outputs of similar age from Water Research
#106
of 193 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,876 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 31st percentile – i.e., 31% 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 327,782 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 193 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.