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Integrated biogeography of planktonic and sedimentary bacterial communities in the Yangtze River

Overview of attention for article published in Microbiome, January 2018
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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 (86th percentile)

Mentioned by

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1 blog
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12 X users

Citations

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206 Dimensions

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128 Mendeley
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Title
Integrated biogeography of planktonic and sedimentary bacterial communities in the Yangtze River
Published in
Microbiome, January 2018
DOI 10.1186/s40168-017-0388-x
Pubmed ID
Authors

Tang Liu, An Ni Zhang, Jiawen Wang, Shufeng Liu, Xiaotao Jiang, Chenyuan Dang, Tao Ma, Sitong Liu, Qian Chen, Shuguang Xie, Tong Zhang, Jinren Ni

Abstract

Bacterial communities are essential to the biogeochemical cycle in riverine ecosystems. However, little is presently known about the integrated biogeography of planktonic and sedimentary bacterial communities in large rivers. This study provides the first spatiotemporal pattern of bacterial communities in the Yangtze River, the largest river in Asia with a catchment area of 1,800,000 km2. We find that sedimentary bacteria made larger contributions than planktonic bacteria to the bacterial diversity of the Yangzte River ecosystem with the sediment subgroup providing 98.8% of 38,906 operational taxonomic units (OTUs) observed in 280 samples of synchronous flowing water and sediment at 50 national monitoring stations covering a 4300 km reach. OTUs within the same phylum displayed uniform seasonal variations, and many phyla demonstrated autumn preference throughout the length of the river. Seasonal differences in bacterial communities were statistically significant in water, whereas bacterial communities in both water and sediment were geographically clustered according to five types of landforms: mountain, foothill, basin, foothill-mountain, and plain. Interestingly, the presence of two huge dams resulted in a drastic fall of bacterial taxa in sediment immediately downstream due to severe riverbed scouring. The integrity of the biogeography is satisfactorily interpreted by the combination of neutral and species sorting perspectives in meta-community theory for bacterial communities in flowing water and sediment. Our study fills a gap in understanding of bacterial communities in one of the world's largest river and highlights the importance of both planktonic and sedimentary communities to the integrity of bacterial biogeographic patterns in a river subject to varying natural and anthropogenic impacts.

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The data shown below were collected from the profiles of 12 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 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 128 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 23%
Researcher 14 11%
Student > Master 10 8%
Student > Doctoral Student 7 5%
Student > Bachelor 7 5%
Other 16 13%
Unknown 45 35%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 20%
Environmental Science 24 19%
Biochemistry, Genetics and Molecular Biology 11 9%
Immunology and Microbiology 4 3%
Medicine and Dentistry 3 2%
Other 8 6%
Unknown 53 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 October 2018.
All research outputs
#2,636,814
of 24,885,505 outputs
Outputs from Microbiome
#1,034
of 1,705 outputs
Outputs of similar age
#59,208
of 452,760 outputs
Outputs of similar age from Microbiome
#45
of 53 outputs
Altmetric has tracked 24,885,505 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,705 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.5. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
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 452,760 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 86% of its contemporaries.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.