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New Biological Insights Into How Deforestation in Amazonia Affects Soil Microbial Communities Using Metagenomics and Metagenome-Assembled Genomes

Overview of attention for article published in Frontiers in Microbiology, July 2018
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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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

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1 blog
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19 X users

Citations

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56 Dimensions

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181 Mendeley
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Title
New Biological Insights Into How Deforestation in Amazonia Affects Soil Microbial Communities Using Metagenomics and Metagenome-Assembled Genomes
Published in
Frontiers in Microbiology, July 2018
DOI 10.3389/fmicb.2018.01635
Pubmed ID
Authors

Marie E. Kroeger, Tom O. Delmont, A. M. Eren, Kyle M. Meyer, Jiarong Guo, Kiran Khan, Jorge L. M. Rodrigues, Brendan J. M. Bohannan, Susannah G. Tringe, Clovis D. Borges, James M. Tiedje, Siu M. Tsai, Klaus Nüsslein

Abstract

Deforestation in the Brazilian Amazon occurs at an alarming rate, which has broad effects on global greenhouse gas emissions, carbon storage, and biogeochemical cycles. In this study, soil metagenomes and metagenome-assembled genomes (MAGs) were analyzed for alterations to microbial community composition, functional groups, and putative physiology as it related to land-use change and tropical soil. A total of 28 MAGs were assembled encompassing 10 phyla, including both dominant and rare biosphere lineages. Amazon Acidobacteria subdivision 3, Melainabacteria, Microgenomates, and Parcubacteria were found exclusively in pasture soil samples, while Candidatus Rokubacteria was predominant in the adjacent rainforest soil. These shifts in relative abundance between land-use types were supported by the different putative physiologies and life strategies employed by the taxa. This research provides unique biological insights into candidate phyla in tropical soil and how deforestation may impact the carbon cycle and affect climate change.

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 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 181 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 181 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 40 22%
Researcher 32 18%
Student > Bachelor 18 10%
Student > Master 15 8%
Student > Doctoral Student 11 6%
Other 35 19%
Unknown 30 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 56 31%
Environmental Science 31 17%
Biochemistry, Genetics and Molecular Biology 27 15%
Earth and Planetary Sciences 7 4%
Immunology and Microbiology 5 3%
Other 16 9%
Unknown 39 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 29 September 2020.
All research outputs
#1,721,904
of 23,498,099 outputs
Outputs from Frontiers in Microbiology
#1,157
of 25,939 outputs
Outputs of similar age
#37,580
of 330,670 outputs
Outputs of similar age from Frontiers in Microbiology
#55
of 737 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
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 done particularly well, scoring higher than 95% 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 330,670 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 737 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 92% of its contemporaries.