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Aligning the Measurement of Microbial Diversity with Macroecological Theory

Overview of attention for article published in Frontiers in Microbiology, September 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

blogs
1 blog
twitter
26 X users
facebook
1 Facebook page

Citations

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13 Dimensions

Readers on

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71 Mendeley
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Title
Aligning the Measurement of Microbial Diversity with Macroecological Theory
Published in
Frontiers in Microbiology, September 2016
DOI 10.3389/fmicb.2016.01487
Pubmed ID
Authors

James C. Stegen, Allen H. Hurlbert, Ben Bond-Lamberty, Xingyuan Chen, Carolyn G. Anderson, Rosalie K. Chu, Francisco Dini-Andreote, Sarah J. Fansler, Nancy J. Hess, Malak Tfaily

Abstract

The number of microbial operational taxonomic units (OTUs) within a community is akin to species richness within plant/animal ("macrobial") systems. A large literature documents OTU richness patterns, drawing comparisons to macrobial theory. There is, however, an unrecognized fundamental disconnect between OTU richness and macrobial theory: OTU richness is commonly estimated on a per-individual basis, while macrobial richness is estimated per-area. Furthermore, the range or extent of sampled environmental conditions can strongly influence a study's outcomes and conclusions, but this is not commonly addressed when studying OTU richness. Here we (i) propose a new sampling approach that estimates OTU richness per-mass of soil, which results in strong support for species energy theory, (ii) use data reduction to show how support for niche conservatism emerges when sampling across a restricted range of environmental conditions, and (iii) show how additional insights into drivers of OTU richness can be generated by combining different sampling methods while simultaneously considering patterns that emerge by restricting the range of environmental conditions. We propose that a more rigorous connection between microbial ecology and macrobial theory can be facilitated by exploring how changes in OTU richness units and environmental extent influence outcomes of data analysis. While fundamental differences between microbial and macrobial systems persist (e.g., species concepts), we suggest that closer attention to units and scale provide tangible and immediate improvements to our understanding of the processes governing OTU richness and how those processes relate to drivers of macrobial species richness.

X Demographics

X Demographics

The data shown below were collected from the profiles of 26 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 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Unknown 69 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 25%
Researcher 12 17%
Student > Master 7 10%
Professor 6 8%
Student > Bachelor 5 7%
Other 14 20%
Unknown 9 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 41%
Environmental Science 12 17%
Biochemistry, Genetics and Molecular Biology 7 10%
Earth and Planetary Sciences 4 6%
Immunology and Microbiology 3 4%
Other 3 4%
Unknown 13 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 November 2016.
All research outputs
#1,458,607
of 22,982,639 outputs
Outputs from Frontiers in Microbiology
#899
of 25,044 outputs
Outputs of similar age
#28,043
of 322,191 outputs
Outputs of similar age from Frontiers in Microbiology
#23
of 433 outputs
Altmetric has tracked 22,982,639 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 25,044 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 322,191 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 91% of its contemporaries.
We're also able to compare this research output to 433 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 94% of its contemporaries.