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Metabolic profiling of biofilm bacteria known to cause microbial influenced corrosion

Overview of attention for article published in Water Science & Technology, October 2013
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48 Mendeley
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Title
Metabolic profiling of biofilm bacteria known to cause microbial influenced corrosion
Published in
Water Science & Technology, October 2013
DOI 10.2166/wst.2013.425
Pubmed ID
Authors

D. J. Beale, P. D. Morrison, C. Key, E. A. Palombo

Abstract

This study builds upon previous research that demonstrated the simplicity of obtaining metabolite profiles of bacteria in urban water networks, by using the metabolic profile of bacteria extracted from a reticulation pipe biofilm, which is known to cause microbial influenced corrosion (MIC). The extracellular metabolites of the isolated bacteria, and those bacteria in consortium, were analysed in isolation, and after exposure to low levels of copper. Applying chemometric analytical methodologies to the metabolomic data, we were able to better understand the profile of the isolated biofilm bacteria, which were differentiated according to their activity and copper exposure. It was found that the metabolic activity of the isolated bacteria and the bacteria in consortium varied according to the bacterium's ability to metabolise copper. This demonstrates the power of metabolomic techniques for the discrimination of water reticulation biofilms comprising similar bacteria in consortium, but undergoing different physico-chemical activities, such as corrosion and corrosion inhibition.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 21%
Student > Bachelor 6 13%
Researcher 6 13%
Student > Doctoral Student 5 10%
Student > Master 4 8%
Other 7 15%
Unknown 10 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 17%
Environmental Science 6 13%
Engineering 4 8%
Chemical Engineering 4 8%
Biochemistry, Genetics and Molecular Biology 4 8%
Other 8 17%
Unknown 14 29%
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 06 February 2014.
All research outputs
#20,219,902
of 22,743,667 outputs
Outputs from Water Science & Technology
#2,585
of 2,957 outputs
Outputs of similar age
#184,883
of 212,039 outputs
Outputs of similar age from Water Science & Technology
#23
of 26 outputs
Altmetric has tracked 22,743,667 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 2,957 research outputs from this source. They receive a mean Attention Score of 3.1. 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 212,039 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 26 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.