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Comparative Analysis of the Gut Microbiota Composition between Captive and Wild Forest Musk Deer

Overview of attention for article published in Frontiers in Microbiology, September 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

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1 blog
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79 Mendeley
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Title
Comparative Analysis of the Gut Microbiota Composition between Captive and Wild Forest Musk Deer
Published in
Frontiers in Microbiology, September 2017
DOI 10.3389/fmicb.2017.01705
Pubmed ID
Authors

Yimeng Li, Xiaolong Hu, Shuang Yang, Juntong Zhou, Tianxiang Zhang, Lei Qi, Xiaoning Sun, Mengyuan Fan, Shanghua Xu, Muha Cha, Meishan Zhang, Shaobi Lin, Shuqiang Liu, Defu Hu

Abstract

The large and complex gut microbiota in animals has profound effects on feed utilization and metabolism. Currently, gastrointestinal diseases due to dysregulated gut microbiota are considered important factors that limit growth of the captive forest musk deer population. Compared with captive forest musk deer, wild forest musk deer have a wider feeding range with no dietary limitations, and their gut microbiota are in a relatively natural state. However, no reports have compared the gut microbiota between wild and captive forest musk deer. To gain insight into the composition of gut microbiota in forest musk deer under different food-source conditions, we employed high-throughput 16S rRNA sequencing technology to investigate differences in the gut microbiota occurring between captive and wild forest musk deer. Both captive and wild forest musk deer showed similar microbiota at the phylum level, which consisted mainly of Firmicutes and Bacteroidetes, although significant differences were found in their relative abundances between both groups. α-Diversity results showed that no significant differences occurred in the microbiota between both groups, while β-diversity results showed that significant differences did occur in their microbiota compositions. In summary, our results provide important information for improving feed preparation for captive forest musk deer and implementing projects where captive forest musk deer are released into the wild.

X Demographics

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The data shown below were collected from the profiles of 3 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 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 79 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 18%
Researcher 13 16%
Student > Ph. D. Student 10 13%
Student > Bachelor 7 9%
Student > Doctoral Student 4 5%
Other 13 16%
Unknown 18 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 34%
Biochemistry, Genetics and Molecular Biology 11 14%
Veterinary Science and Veterinary Medicine 7 9%
Immunology and Microbiology 6 8%
Environmental Science 5 6%
Other 2 3%
Unknown 21 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 21 September 2017.
All research outputs
#4,122,492
of 24,885,505 outputs
Outputs from Frontiers in Microbiology
#3,793
of 28,434 outputs
Outputs of similar age
#67,842
of 320,873 outputs
Outputs of similar age from Frontiers in Microbiology
#119
of 511 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 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 28,434 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done well, scoring higher than 86% 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 320,873 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 78% of its contemporaries.
We're also able to compare this research output to 511 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.