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Elemental sulfur-based autotrophic denitrification and denitritation: microbially catalyzed sulfur hydrolysis and nitrogen conversions

Overview of attention for article published in Journal of Environmental Management, February 2018
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Title
Elemental sulfur-based autotrophic denitrification and denitritation: microbially catalyzed sulfur hydrolysis and nitrogen conversions
Published in
Journal of Environmental Management, February 2018
DOI 10.1016/j.jenvman.2018.01.064
Pubmed ID
Authors

Anastasiia Kostrytsia, Stefano Papirio, Luigi Frunzo, Maria Rosaria Mattei, Estefanía Porca, Gavin Collins, Piet N.L. Lens, Giovanni Esposito

Abstract

The hydrolysis of elemental sulfur (S0) coupled to S0-based denitrification and denitritation was investigated in batch bioassays by microbiological and modeling approaches. In the denitrification experiments, the highest obtained NO3--N removal rate was 20.9 mg/l·d. In the experiments with the biomass enriched on NO2-, a NO2--N removal rate of 10.7 mg/l·d was achieved even at a NO2--N concentration as high as 240 mg/l. The Helicobacteraceae family was only observed in the biofilm attached onto the chemically-synthesized S0 particles with a relative abundance up to 37.1%, suggesting it was the hydrolytic biomass capable of S0 solubilization in the novel surface-based model. S0-driven denitrification was modeled as a two-step process in order to explicitly account for the sequential reduction of NO3- to NO2- and then to N2 by denitrifying bacteria.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 17%
Researcher 11 15%
Student > Ph. D. Student 9 13%
Student > Bachelor 8 11%
Other 5 7%
Other 10 14%
Unknown 17 24%
Readers by discipline Count As %
Environmental Science 19 26%
Engineering 11 15%
Agricultural and Biological Sciences 6 8%
Chemical Engineering 3 4%
Biochemistry, Genetics and Molecular Biology 2 3%
Other 8 11%
Unknown 23 32%
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 01 April 2018.
All research outputs
#19,951,180
of 25,382,440 outputs
Outputs from Journal of Environmental Management
#4,932
of 6,438 outputs
Outputs of similar age
#322,894
of 445,948 outputs
Outputs of similar age from Journal of Environmental Management
#65
of 92 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 6,438 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 21st percentile – i.e., 21% 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 445,948 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 92 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.