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Coupling Spatiotemporal Community Assembly Processes to Changes in Microbial Metabolism

Overview of attention for article published in Frontiers in Microbiology, December 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
12 X users
googleplus
1 Google+ user

Citations

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93 Dimensions

Readers on

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117 Mendeley
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Title
Coupling Spatiotemporal Community Assembly Processes to Changes in Microbial Metabolism
Published in
Frontiers in Microbiology, December 2016
DOI 10.3389/fmicb.2016.01949
Pubmed ID
Authors

Emily B. Graham, Alex R. Crump, Charles T. Resch, Sarah Fansler, Evan Arntzen, David W. Kennedy, Jim K. Fredrickson, James C. Stegen

Abstract

Community assembly processes generate shifts in species abundances that influence ecosystem cycling of carbon and nutrients, yet our understanding of assembly remains largely separate from ecosystem-level functioning. Here, we investigate relationships between assembly and changes in microbial metabolism across space and time in hyporheic microbial communities. We pair sampling of two habitat types (i.e., attached and planktonic) through seasonal and sub-hourly hydrologic fluctuation with null modeling and temporally explicit multivariate statistics. We demonstrate that multiple selective pressures-imposed by sediment and porewater physicochemistry-integrate to generate changes in microbial community composition at distinct timescales among habitat types. These changes in composition are reflective of contrasting associations of Betaproteobacteria and Thaumarchaeota with ecological selection and with seasonal changes in microbial metabolism. We present a conceptual model based on our results in which metabolism increases when oscillating selective pressures oppose temporally stable selective pressures. Our conceptual model is pertinent to both macrobial and microbial systems experiencing multiple selective pressures and presents an avenue for assimilating community assembly processes into predictions of ecosystem-level functioning.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 116 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 23%
Researcher 18 15%
Student > Master 16 14%
Student > Doctoral Student 9 8%
Student > Bachelor 8 7%
Other 21 18%
Unknown 18 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 27%
Environmental Science 30 26%
Earth and Planetary Sciences 10 9%
Biochemistry, Genetics and Molecular Biology 7 6%
Engineering 3 3%
Other 10 9%
Unknown 25 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 02 February 2017.
All research outputs
#1,434,876
of 22,901,818 outputs
Outputs from Frontiers in Microbiology
#886
of 24,953 outputs
Outputs of similar age
#31,646
of 420,942 outputs
Outputs of similar age from Frontiers in Microbiology
#26
of 382 outputs
Altmetric has tracked 22,901,818 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 24,953 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 done particularly well, scoring higher than 96% 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 420,942 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 382 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.