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Salinity shapes microbial diversity and community structure in surface sediments of the Qinghai-Tibetan Lakes

Overview of attention for article published in Scientific Reports, April 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 (76th percentile)

Mentioned by

blogs
1 blog
twitter
2 tweeters
googleplus
1 Google+ user

Citations

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90 Dimensions

Readers on

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97 Mendeley
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Title
Salinity shapes microbial diversity and community structure in surface sediments of the Qinghai-Tibetan Lakes
Published in
Scientific Reports, April 2016
DOI 10.1038/srep25078
Pubmed ID
Authors

Jian Yang, Li’an Ma, Hongchen Jiang, Geng Wu, Hailiang Dong

Abstract

Investigating microbial response to environmental variables is of great importance for understanding of microbial acclimatization and evolution in natural environments. However, little is known about how microbial communities responded to environmental factors (e.g. salinity, geographic distance) in lake surface sediments of the Qinghai-Tibetan Plateau (QTP). In this study, microbial diversity and community structure in the surface sediments of nine lakes on the QTP were investigated by using the Illumina Miseq sequencing technique and the resulting microbial data were statistically analyzed in combination with environmental variables. The results showed total microbial community of the studied lakes was significantly correlated (r = 0.631, P < 0.001) with lake salinity instead of geographic distance. This suggests that lake salinity is more important than geographic distance in shaping the microbial diversity and community structure in the studied samples. In addition, the abundant and rare taxa (OTUs with relative abundance higher than 1% and lower than 0.01% within one sample, respectively) were significantly (P < 0.05) correlated (r = 0.427 and 0.783, respectively) with salinity, suggesting rare taxa might be more sensitive to salinity than their abundant counterparts, thus cautions should be taken in future when evaluating microbial response (abundant vs. rare sub-communities) to environmental conditions.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 1%
France 1 1%
Unknown 95 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 31%
Student > Doctoral Student 13 13%
Student > Master 13 13%
Researcher 9 9%
Student > Postgraduate 8 8%
Other 14 14%
Unknown 10 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 28%
Environmental Science 25 26%
Biochemistry, Genetics and Molecular Biology 12 12%
Earth and Planetary Sciences 7 7%
Immunology and Microbiology 3 3%
Other 8 8%
Unknown 15 15%

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 27 April 2016.
All research outputs
#2,755,412
of 17,872,053 outputs
Outputs from Scientific Reports
#21,759
of 96,607 outputs
Outputs of similar age
#50,377
of 271,455 outputs
Outputs of similar age from Scientific Reports
#741
of 3,155 outputs
Altmetric has tracked 17,872,053 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 96,607 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.7. This one has done well, scoring higher than 77% 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 271,455 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 3,155 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.