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Samples and techniques highlighting the links between obesity and microbiota

Overview of attention for article published in Microbial Pathogenesis, January 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

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9 X users

Citations

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15 Dimensions

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96 Mendeley
Title
Samples and techniques highlighting the links between obesity and microbiota
Published in
Microbial Pathogenesis, January 2016
DOI 10.1016/j.micpath.2016.01.024
Pubmed ID
Authors

Emmanouil Angelakis, Jean-Christophe Lagier

Abstract

The composition of gut microbiota and its relationship to human health, particularly its links with obesity remain an ongoing challenge for scientists. The current gold standard for exploring human gut microbiota consists of using stool samples and only applying next generations sequencing techniques, which sometimes generate contradictory results. Here, we comprehensively describe nutrient absorption, fat digestion, carbohydrate and protein absorption, demonstrating that absorption of these diverse nutrients occurs mainly in the stomach and small intestine. Indeed, bariatric surgery, including Roux-en-Y, removes part of the upper intestine, resulting in weight loss, while colonic surgery is associated with a stable weight. However, most studies only use stool samples rather than small intestine samples because of the easy with which this can be accessed. Metagenomics studies are associated with several biases such as extraction and primer biases and depth bias, including the more modern platforms. High-throughput culture-dependent techniques, such as culturomics, which uses rapid identification methods such as MALDI-TOF, remain time-consuming, but have demonstrated their complementarity with molecular techniques. In conclusion, we believe that a comprehensive analysis of the relationships between obesity and gut microbiota requires large-scale studies coupling metagenomics and culture-dependent research, in order to analyse both small intestine and stool samples.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 2%
Chile 1 1%
Indonesia 1 1%
Unknown 92 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 16%
Student > Master 13 14%
Student > Bachelor 11 11%
Student > Ph. D. Student 11 11%
Student > Doctoral Student 6 6%
Other 15 16%
Unknown 25 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 18%
Medicine and Dentistry 16 17%
Biochemistry, Genetics and Molecular Biology 14 15%
Immunology and Microbiology 9 9%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Other 8 8%
Unknown 29 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 03 February 2016.
All research outputs
#7,148,499
of 25,373,627 outputs
Outputs from Microbial Pathogenesis
#500
of 3,303 outputs
Outputs of similar age
#107,540
of 405,428 outputs
Outputs of similar age from Microbial Pathogenesis
#7
of 39 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 3,303 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 84% 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 405,428 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.