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Bacterial community structure is indicative of chemical inputs in the Upper Mississippi River

Overview of attention for article published in Frontiers in Microbiology, October 2014
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

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Title
Bacterial community structure is indicative of chemical inputs in the Upper Mississippi River
Published in
Frontiers in Microbiology, October 2014
DOI 10.3389/fmicb.2014.00524
Pubmed ID
Authors

Christopher Staley, Trevor J. Gould, Ping Wang, Jane Phillips, James B. Cotner, Michael J. Sadowsky

Abstract

Local and regional associations between bacterial communities and nutrient and chemical concentrations were assessed in the Upper Mississippi River in Minnesota to determine if community structure was associated with discrete types of chemical inputs associated with different land cover. Bacterial communities were characterized by Illumina sequencing of the V6 region of 16S rDNA and compared to >40 chemical and nutrient concentrations. Local bacterial community structure was shaped primarily by associations among bacterial orders. However, order abundances were correlated regionally with nutrient and chemical concentrations, and were also related to major land coverage types. Total organic carbon and total dissolved solids were among the primary abiotic factors associated with local community composition and co-varied with land cover. Escherichia coli concentration was poorly related to community composition or nutrient concentrations. Abundances of 14 bacterial orders were related to land coverage type, and seven showed significant differences in abundance (P ≤ 0.046) between forested or anthropogenically-impacted sites. This study identifies specific bacterial orders that were associated with chemicals and nutrients derived from specific land cover types and may be useful in assessing water quality. Results of this study reveal the need to investigate community dynamics at both the local and regional scales and to identify shifts in taxonomic community structure that may be useful in determining sources of pollution in the Upper Mississippi River.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 1%
Switzerland 1 <1%
Sweden 1 <1%
India 1 <1%
Japan 1 <1%
United States 1 <1%
Unknown 140 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 19%
Student > Ph. D. Student 26 18%
Student > Master 22 15%
Student > Doctoral Student 15 10%
Student > Bachelor 12 8%
Other 23 16%
Unknown 21 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 49 33%
Environmental Science 27 18%
Biochemistry, Genetics and Molecular Biology 14 10%
Immunology and Microbiology 6 4%
Engineering 4 3%
Other 12 8%
Unknown 35 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 24 October 2014.
All research outputs
#7,205,266
of 23,498,099 outputs
Outputs from Frontiers in Microbiology
#7,521
of 25,939 outputs
Outputs of similar age
#76,390
of 256,825 outputs
Outputs of similar age from Frontiers in Microbiology
#70
of 163 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 25,939 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has gotten more attention than average, scoring higher than 70% of its peers.
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 256,825 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 69% of its contemporaries.
We're also able to compare this research output to 163 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 57% of its contemporaries.