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A metagenome-wide association study of gut microbiota in type 2 diabetes

Overview of attention for article published in Nature, September 2012
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Citations

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1948 Dimensions

Readers on

mendeley
360 Mendeley
citeulike
15 CiteULike
Title
A metagenome-wide association study of gut microbiota in type 2 diabetes
Published in
Nature, September 2012
DOI 10.1038/nature11450
Pubmed ID
Authors

Junjie Qin, Yingrui Li, Zhiming Cai, Shenghui Li, Jianfeng Zhu, Fan Zhang, Suisha Liang, Wenwei Zhang, Yuanlin Guan, Dongqian Shen, Yangqing Peng, Dongya Zhang, Zhuye Jie, Wenxian Wu, Youwen Qin, Wenbin Xue, Junhua Li, Lingchuan Han, Donghui Lu, Peixian Wu, Yali Dai, Xiaojuan Sun, Zesong Li, Aifa Tang, Shilong Zhong, Xiaoping Li, Weineng Chen, Ran Xu, Mingbang Wang, Qiang Feng, Meihua Gong, Jing Yu, Yanyan Zhang, Ming Zhang, Torben Hansen, Gaston Sanchez, Jeroen Raes, Gwen Falony, Shujiro Okuda, Mathieu Almeida, Emmanuelle LeChatelier, Pierre Renault, Nicolas Pons, Jean-Michel Batto, Zhaoxi Zhang, Hua Chen, Ruifu Yang, Weimou Zheng, Songgang Li, Huanming Yang, Jian Wang, S. Dusko Ehrlich, Rasmus Nielsen, Oluf Pedersen, Karsten Kristiansen, Jun Wang

Abstract

Assessment and characterization of gut microbiota has become a major research area in human disease, including type 2 diabetes, the most prevalent endocrine disease worldwide. To carry out analysis on gut microbial content in patients with type 2 diabetes, we developed a protocol for a metagenome-wide association study (MGWAS) and undertook a two-stage MGWAS based on deep shotgun sequencing of the gut microbial DNA from 345 Chinese individuals. We identified and validated approximately 60,000 type-2-diabetes-associated markers and established the concept of a metagenomic linkage group, enabling taxonomic species-level analyses. MGWAS analysis showed that patients with type 2 diabetes were characterized by a moderate degree of gut microbial dysbiosis, a decrease in the abundance of some universal butyrate-producing bacteria and an increase in various opportunistic pathogens, as well as an enrichment of other microbial functions conferring sulphate reduction and oxidative stress resistance. An analysis of 23 additional individuals demonstrated that these gut microbial markers might be useful for classifying type 2 diabetes.

Twitter Demographics

The data shown below were collected from the profiles of 98 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 360 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 1%
Netherlands 2 <1%
Switzerland 1 <1%
China 1 <1%
Sweden 1 <1%
United Kingdom 1 <1%
Greece 1 <1%
Unknown 349 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 73 20%
Student > Master 72 20%
Researcher 47 13%
Unspecified 43 12%
Student > Bachelor 39 11%
Other 86 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 100 28%
Agricultural and Biological Sciences 93 26%
Unspecified 57 16%
Medicine and Dentistry 38 11%
Immunology and Microbiology 23 6%
Other 49 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 362. 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 07 March 2019.
All research outputs
#28,659
of 13,040,640 outputs
Outputs from Nature
#3,248
of 68,507 outputs
Outputs of similar age
#178
of 127,995 outputs
Outputs of similar age from Nature
#41
of 1,044 outputs
Altmetric has tracked 13,040,640 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 68,507 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 74.3. This one has done particularly well, scoring higher than 95% 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 127,995 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 1,044 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.