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Dramatic Increases of Soil Microbial Functional Gene Diversity at the Treeline Ecotone of Changbai Mountain

Overview of attention for article published in Frontiers in Microbiology, July 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 (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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Title
Dramatic Increases of Soil Microbial Functional Gene Diversity at the Treeline Ecotone of Changbai Mountain
Published in
Frontiers in Microbiology, July 2016
DOI 10.3389/fmicb.2016.01184
Pubmed ID
Authors

Congcong Shen, Yu Shi, Yingying Ni, Ye Deng, Joy D. Van Nostrand, Zhili He, Jizhong Zhou, Haiyan Chu

Abstract

The elevational and latitudinal diversity patterns of microbial taxa have attracted great attention in the past decade. Recently, the distribution of functional attributes has been in the spotlight. Here, we report a study profiling soil microbial communities along an elevation gradient (500-2200 m) on Changbai Mountain. Using a comprehensive functional gene microarray (GeoChip 5.0), we found that microbial functional gene richness exhibited a dramatic increase at the treeline ecotone, but the bacterial taxonomic and phylogenetic diversity based on 16S rRNA gene sequencing did not exhibit such a similar trend. However, the β-diversity (compositional dissimilarity among sites) pattern for both bacterial taxa and functional genes was similar, showing significant elevational distance-decay patterns which presented increased dissimilarity with elevation. The bacterial taxonomic diversity/structure was strongly influenced by soil pH, while the functional gene diversity/structure was significantly correlated with soil dissolved organic carbon (DOC). This finding highlights that soil DOC may be a good predictor in determining the elevational distribution of microbial functional genes. The finding of significant shifts in functional gene diversity at the treeline ecotone could also provide valuable information for predicting the responses of microbial functions to climate change.

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X Demographics

The data shown below were collected from the profiles of 2 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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 3%
Unknown 57 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 22%
Student > Ph. D. Student 11 19%
Researcher 7 12%
Student > Bachelor 6 10%
Student > Doctoral Student 4 7%
Other 7 12%
Unknown 11 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 47%
Environmental Science 7 12%
Biochemistry, Genetics and Molecular Biology 3 5%
Engineering 2 3%
Unspecified 1 2%
Other 2 3%
Unknown 16 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 16 August 2016.
All research outputs
#3,809,503
of 23,498,099 outputs
Outputs from Frontiers in Microbiology
#3,574
of 25,939 outputs
Outputs of similar age
#68,662
of 367,888 outputs
Outputs of similar age from Frontiers in Microbiology
#108
of 457 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% 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 well, scoring higher than 85% 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 367,888 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 81% of its contemporaries.
We're also able to compare this research output to 457 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.