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A Community Multi-Omics Approach towards the Assessment of Surface Water Quality in an Urban River System

Overview of attention for article published in International Journal of Environmental Research and Public Health, March 2017
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  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
68 Mendeley
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Title
A Community Multi-Omics Approach towards the Assessment of Surface Water Quality in an Urban River System
Published in
International Journal of Environmental Research and Public Health, March 2017
DOI 10.3390/ijerph14030303
Pubmed ID
Authors

David Beale, Avinash Karpe, Warish Ahmed, Stephen Cook, Paul Morrison, Christopher Staley, Michael Sadowsky, Enzo Palombo

Abstract

A multi-omics approach was applied to an urban river system (the Brisbane River (BR), Queensland, Australia) in order to investigate surface water quality and characterize the bacterial population with respect to water contaminants. To do this, bacterial metagenomic amplicon-sequencing using Illumina next-generation sequencing (NGS) of the V5-V6 hypervariable regions of the 16S rRNA gene and untargeted community metabolomics using gas chromatography coupled with mass spectrometry (GC-MS) were utilized. The multi-omics data, in combination with fecal indicator bacteria (FIB) counts, trace metal concentrations (by inductively coupled plasma mass spectrometry (ICP-MS)) and in-situ water quality measurements collected from various locations along the BR were then used to assess the health of the river ecosystem. Sites sampled represented the transition from less affected (upstream) to polluted (downstream) environments along the BR. Chemometric analysis of the combined datasets indicated a clear separation between the sampled environments. Burkholderiales and Cyanobacteria were common key factors for differentiation of pristine waters. Increased sugar alcohol and short-chain fatty acid production was observed by Actinomycetales and Rhodospirillaceae that are known to form biofilms in urban polluted and brackish waters. Results from this study indicate that a multi-omics approach enables a deep understanding of the health of an aquatic ecosystem, providing insight into the bacterial diversity present and the metabolic output of the population when exposed to environmental contaminants.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 3%
United States 1 1%
Unknown 65 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 22%
Student > Ph. D. Student 12 18%
Student > Master 9 13%
Student > Doctoral Student 5 7%
Student > Postgraduate 4 6%
Other 10 15%
Unknown 13 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 26%
Environmental Science 12 18%
Biochemistry, Genetics and Molecular Biology 11 16%
Immunology and Microbiology 4 6%
Computer Science 2 3%
Other 7 10%
Unknown 14 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 26 March 2017.
All research outputs
#4,790,569
of 9,727,924 outputs
Outputs from International Journal of Environmental Research and Public Health
#1,937
of 3,947 outputs
Outputs of similar age
#119,568
of 256,090 outputs
Outputs of similar age from International Journal of Environmental Research and Public Health
#113
of 309 outputs
Altmetric has tracked 9,727,924 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 3,947 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 49th percentile – i.e., 49% 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 256,090 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 51% of its contemporaries.
We're also able to compare this research output to 309 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.