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Sub-clinical detection of gut microbial biomarkers of obesity and type 2 diabetes

Overview of attention for article published in Genome Medicine, February 2016
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
10 news outlets
blogs
3 blogs
twitter
58 X users
facebook
1 Facebook page

Citations

dimensions_citation
208 Dimensions

Readers on

mendeley
402 Mendeley
citeulike
1 CiteULike
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Title
Sub-clinical detection of gut microbial biomarkers of obesity and type 2 diabetes
Published in
Genome Medicine, February 2016
DOI 10.1186/s13073-016-0271-6
Pubmed ID
Authors

Moran Yassour, Mi Young Lim, Hyun Sun Yun, Timothy L. Tickle, Joohon Sung, Yun-Mi Song, Kayoung Lee, Eric A. Franzosa, Xochitl C. Morgan, Dirk Gevers, Eric S. Lander, Ramnik J. Xavier, Bruce W. Birren, GwangPyo Ko, Curtis Huttenhower

X Demographics

X Demographics

The data shown below were collected from the profiles of 58 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 402 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 1%
Netherlands 2 <1%
Canada 2 <1%
Germany 1 <1%
South Africa 1 <1%
Iran, Islamic Republic of 1 <1%
Croatia 1 <1%
Unknown 389 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 69 17%
Researcher 60 15%
Student > Master 55 14%
Student > Bachelor 48 12%
Other 25 6%
Other 59 15%
Unknown 86 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 80 20%
Agricultural and Biological Sciences 72 18%
Medicine and Dentistry 62 15%
Immunology and Microbiology 24 6%
Nursing and Health Professions 17 4%
Other 45 11%
Unknown 102 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 134. 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 15 November 2017.
All research outputs
#315,723
of 25,837,817 outputs
Outputs from Genome Medicine
#51
of 1,611 outputs
Outputs of similar age
#5,457
of 314,987 outputs
Outputs of similar age from Genome Medicine
#2
of 35 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,611 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.7. This one has done particularly well, scoring higher than 96% 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 314,987 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 97% of its contemporaries.
We're also able to compare this research output to 35 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 94% of its contemporaries.