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Plant diversity predicts beta but not alpha diversity of soil microbes across grasslands worldwide

Overview of attention for article published in Ecology Letters, November 2014
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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 (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

policy
2 policy sources
twitter
27 tweeters
facebook
3 Facebook pages

Citations

dimensions_citation
375 Dimensions

Readers on

mendeley
726 Mendeley
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Title
Plant diversity predicts beta but not alpha diversity of soil microbes across grasslands worldwide
Published in
Ecology Letters, November 2014
DOI 10.1111/ele.12381
Pubmed ID
Authors

Suzanne M. Prober, Jonathan W. Leff, Scott T. Bates, Elizabeth T. Borer, Jennifer Firn, W. Stanley Harpole, Eric M. Lind, Eric W. Seabloom, Peter B. Adler, Jonathan D. Bakker, Elsa E. Cleland, Nicole M. DeCrappeo, Elizabeth DeLorenze, Nicole Hagenah, Yann Hautier, Kirsten S. Hofmockel, Kevin P. Kirkman, Johannes M.H. Knops, Kimberly J. La Pierre, Andrew S. MacDougall, Rebecca L. McCulley, Charles E. Mitchell, Anita C. Risch, Martin Schuetz, Carly J. Stevens, Ryan J. Williams, Noah Fierer

Abstract

Aboveground-belowground interactions exert critical controls on the composition and function of terrestrial ecosystems, yet the fundamental relationships between plant diversity and soil microbial diversity remain elusive. Theory predicts predominantly positive associations but tests within single sites have shown variable relationships, and associations between plant and microbial diversity across broad spatial scales remain largely unexplored. We compared the diversity of plant, bacterial, archaeal and fungal communities in one hundred and forty-five 1 m(2) plots across 25 temperate grassland sites from four continents. Across sites, the plant alpha diversity patterns were poorly related to those observed for any soil microbial group. However, plant beta diversity (compositional dissimilarity between sites) was significantly correlated with the beta diversity of bacterial and fungal communities, even after controlling for environmental factors. Thus, across a global range of temperate grasslands, plant diversity can predict patterns in the composition of soil microbial communities, but not patterns in alpha diversity.

Twitter Demographics

The data shown below were collected from the profiles of 27 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 726 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 11 2%
South Africa 2 <1%
United Kingdom 2 <1%
Finland 1 <1%
France 1 <1%
Norway 1 <1%
Australia 1 <1%
Brazil 1 <1%
Sweden 1 <1%
Other 11 2%
Unknown 694 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 203 28%
Researcher 124 17%
Student > Master 101 14%
Student > Bachelor 59 8%
Student > Doctoral Student 48 7%
Other 94 13%
Unknown 97 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 350 48%
Environmental Science 150 21%
Biochemistry, Genetics and Molecular Biology 40 6%
Earth and Planetary Sciences 19 3%
Immunology and Microbiology 9 1%
Other 20 3%
Unknown 138 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 01 December 2020.
All research outputs
#1,230,215
of 19,164,538 outputs
Outputs from Ecology Letters
#820
of 2,631 outputs
Outputs of similar age
#21,639
of 331,010 outputs
Outputs of similar age from Ecology Letters
#10
of 39 outputs
Altmetric has tracked 19,164,538 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 2,631 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.0. This one has gotten more attention than average, scoring higher than 68% 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 331,010 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 93% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.