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Characterization of saliva microbiota’s functional feature based on metagenomic sequencing

Overview of attention for article published in SpringerPlus, December 2016
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

blogs
1 blog
twitter
8 X users

Citations

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15 Dimensions

Readers on

mendeley
47 Mendeley
Title
Characterization of saliva microbiota’s functional feature based on metagenomic sequencing
Published in
SpringerPlus, December 2016
DOI 10.1186/s40064-016-3728-6
Pubmed ID
Authors

Fang Yang, Kang Ning, Xiaowei Zeng, Qian Zhou, Xiaoquan Su, Xiao Yuan

Abstract

Saliva, a mixture of exocrinally secretive fluids, amounts to ~1.5 L daily and harbors numerous microbial inhabitants. However, except the organismal structure of saliva microbiota, the functional profile of saliva microbiota remain elusive. Here we used metagenomic sequencing to experimentally reconstruct the global genomic profile of saliva by sequencing total saliva DNA from two healthy and two caries-active (DMFT ≧ 6) adults. We found that saliva microbiota, representing 30-60% of total saliva DNA in our samples, might carry functional signatures that were site-specific and caries-state-specific. Among microbiota from different hosts, a prominent functional core, but not an organismal core, was identified. Each microbiota exhibited functional redundancy where dominant genomes tend to encode more functional diversity yet without necessarily contributing to dominant functions. Furthermore, genetic polymorphisms of hosts were also unraveled from salivary DNA without apparent physical or sequence bias in human chromosomes. The microbial functional sensitivity to disease, links to specific functions, and permission of simultaneous genotyping of hosts and microbiota suggested sequencing salivary DNA might be an advantageous venue in uncovering both human and microbial basis of oral infections.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 2%
Unknown 46 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 21%
Student > Ph. D. Student 7 15%
Student > Bachelor 5 11%
Researcher 5 11%
Student > Postgraduate 4 9%
Other 6 13%
Unknown 10 21%
Readers by discipline Count As %
Medicine and Dentistry 14 30%
Agricultural and Biological Sciences 9 19%
Biochemistry, Genetics and Molecular Biology 5 11%
Immunology and Microbiology 3 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 4 9%
Unknown 11 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 06 January 2017.
All research outputs
#3,017,181
of 24,885,505 outputs
Outputs from SpringerPlus
#169
of 1,866 outputs
Outputs of similar age
#58,016
of 432,360 outputs
Outputs of similar age from SpringerPlus
#3
of 42 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 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,866 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done particularly well, scoring higher than 90% 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 432,360 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 42 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 95% of its contemporaries.