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Similarities and differences in gut microbiome composition correlate with dietary patterns of Indian and Chinese adults

Overview of attention for article published in AMB Express, June 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#33 of 1,274)
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

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1 blog
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8 X users

Citations

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61 Dimensions

Readers on

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126 Mendeley
Title
Similarities and differences in gut microbiome composition correlate with dietary patterns of Indian and Chinese adults
Published in
AMB Express, June 2018
DOI 10.1186/s13568-018-0632-1
Pubmed ID
Authors

Abhishek Jain, Xin Hui Li, Wei Ning Chen

Abstract

The interaction between diet and gut microbiota, and ultimately their link to health, has turned into the concentration of huge research. However, this relationship still needs to be fully characterized, particularly in case of the Asian population. We compared the fecal bacterial diversity and composition of healthy Indian and Chinese adults, ages 22-35 years, using next-generation sequencing analysis on IlluminaHiSeq 2500 platform. Our analysis revealed unique community structure, dominant Firmicutes, Actinobacteria and underrepresented Bacteroides, of Indian and Chinese gut bacteria. This community structure closely matched with the gut bacterial composition of the Russian population. Therefore, we hypothesized that enrichment of these bacterial clades is supported by high consumption of starch-rich diet such as rice, potato, refined grains. The dominance of genus Bifidobacterium due to carbohydrate-rich diet is another notable feature of this study. Moreover, Indian gut bacteria are significantly represented by Bacteroidetes (p = 0.001) and Prevotella (p = 0.002) in contrast to Chinese, which could be associated with whole grains and plant-based vegetarian diet of Indians. The gut bacterial population of Indian adults were as diverse as Chinese adults (p > 0.1), but significant difference was noticed in gut bacterial composition and relative abundance between two populations (R = 0.625, p < 0.005). Partial least squares discriminant analysis and non-metric multidimensional scaling plots showed dietary habit wise clustering of subjects. Thus, the present work confirms an important role of diet in determining gut bacterial composition. LEfse analysis revealed genera Prevotella, Megasphaera, Catenibacterium, Lactobacillus, Ruminococcus and species Prevotella copri, Lactobacillus ruminis as the potential biomarkers of diet.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 126 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 11%
Student > Ph. D. Student 13 10%
Student > Bachelor 13 10%
Researcher 9 7%
Student > Doctoral Student 6 5%
Other 15 12%
Unknown 56 44%
Readers by discipline Count As %
Medicine and Dentistry 16 13%
Biochemistry, Genetics and Molecular Biology 15 12%
Agricultural and Biological Sciences 13 10%
Nursing and Health Professions 8 6%
Immunology and Microbiology 7 6%
Other 9 7%
Unknown 58 46%
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 13 July 2018.
All research outputs
#2,773,125
of 24,093,053 outputs
Outputs from AMB Express
#33
of 1,274 outputs
Outputs of similar age
#55,722
of 332,751 outputs
Outputs of similar age from AMB Express
#3
of 52 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,274 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done particularly well, scoring higher than 97% 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 332,751 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 83% of its contemporaries.
We're also able to compare this research output to 52 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 96% of its contemporaries.