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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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2080 Dimensions

Readers on

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2609 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 97 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 2,609 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 37 1%
United Kingdom 12 <1%
Spain 8 <1%
Denmark 7 <1%
Germany 7 <1%
Russia 7 <1%
Netherlands 7 <1%
Sweden 6 <1%
France 5 <1%
Other 62 2%
Unknown 2451 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 606 23%
Researcher 501 19%
Student > Master 420 16%
Student > Bachelor 302 12%
Unspecified 186 7%
Other 593 23%
Unknown 1 <1%
Readers by discipline Count As %
Agricultural and Biological Sciences 1016 39%
Biochemistry, Genetics and Molecular Biology 443 17%
Medicine and Dentistry 344 13%
Unspecified 273 10%
Immunology and Microbiology 151 6%
Other 381 15%
Unknown 1 <1%

Attention Score in Context

This research output has an Altmetric Attention Score of 366. 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 31 July 2019.
All research outputs
#29,355
of 13,371,869 outputs
Outputs from Nature
#3,320
of 69,376 outputs
Outputs of similar age
#182
of 129,492 outputs
Outputs of similar age from Nature
#41
of 1,049 outputs
Altmetric has tracked 13,371,869 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 69,376 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 75.7. 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 129,492 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 1,049 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.