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Seasonal metabolic analysis of marine sediments collected from Moreton Bay in South East Queensland, Australia, using a multi-omics-based approach

Overview of attention for article published in Science of the Total Environment, March 2018
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3 X users

Citations

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22 Dimensions

Readers on

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72 Mendeley
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Title
Seasonal metabolic analysis of marine sediments collected from Moreton Bay in South East Queensland, Australia, using a multi-omics-based approach
Published in
Science of the Total Environment, March 2018
DOI 10.1016/j.scitotenv.2018.03.106
Pubmed ID
Authors

D.J. Beale, J. Crosswell, A.V. Karpe, S.S. Metcalfe, P.D. Morrison, C. Staley, W. Ahmed, M.J. Sadowsky, E.A. Palombo, A.D.L. Steven

Abstract

Anthropogenic effects of urban density have altered natural ecosystems. Such changes include eutrophication of freshwater and adjoining coastal habitats, and increased levels of inorganic nutrients and pollutants into waterways. In Australia, these changes are intensified by large-scale ocean-atmospheric events, leading to considerable abiotic stress on the natural flora and fauna. Bacterial communities in marine sediments from Moreton Bay (South East Queensland, Australia) were examined in order to assess the impact of rainfall changes, chemical pollution, and subsequent abiotic stress on living organisms within a marine ecosystem. Sediments were collected during the wet and dry seasons and analyzed using bacterial metagenomics and community metabolomics techniques. Physicochemical data were also analyzed to account for biological variance that may be due to non-rainfall-based abiotic stresses. Wet-dry seasonality was the dominant control on bacterial community structure and metabolic function. Changes in the availability of nutrients, organic matter and light appeared to be the major seasonal stressors. In contrast, urban and industrial pollutants appeared to be minor stressors at the sites sampled. During the wet season, the bacterial community composition reflected organisms that utilize biogeochemical pathways with fast kinetics, such as aerobic metabolism, direct assimilation of inorganic compounds, and primary production. The transition to the dry season saw the bacterial community composition shift towards organisms that utilize more complex organic energy sources, such as carbohydrates and fatty acids, and anaerobic redox processes.

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The data shown below were collected from the profiles of 3 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 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 > Ph. D. Student 15 21%
Researcher 11 15%
Student > Master 8 11%
Student > Bachelor 6 8%
Student > Doctoral Student 4 6%
Other 11 15%
Unknown 17 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 21%
Environmental Science 12 17%
Biochemistry, Genetics and Molecular Biology 4 6%
Computer Science 3 4%
Medicine and Dentistry 3 4%
Other 17 24%
Unknown 18 25%
Attention Score in Context

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 08 May 2018.
All research outputs
#16,000,222
of 25,756,531 outputs
Outputs from Science of the Total Environment
#17,336
of 30,241 outputs
Outputs of similar age
#193,699
of 345,401 outputs
Outputs of similar age from Science of the Total Environment
#383
of 682 outputs
Altmetric has tracked 25,756,531 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 30,241 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 41st percentile – i.e., 41% 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 345,401 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 682 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.