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Functional profiling of the gut microbiome in disease-associated inflammation

Overview of attention for article published in Genome Medicine, July 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

news
1 news outlet
twitter
11 X users
facebook
3 Facebook pages

Citations

dimensions_citation
54 Dimensions

Readers on

mendeley
275 Mendeley
citeulike
2 CiteULike
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Title
Functional profiling of the gut microbiome in disease-associated inflammation
Published in
Genome Medicine, July 2013
DOI 10.1186/gm469
Pubmed ID
Authors

Daniela Börnigen, Xochitl C Morgan, Eric A Franzosa, Boyu Ren, Ramnik J Xavier, Wendy S Garrett, Curtis Huttenhower

Abstract

The microbial residents of the human gut are a major factor in the development and lifelong maintenance of health. The gut microbiota differs to a large degree from person to person and has an important influence on health and disease due to its interaction with the human immune system. Its overall composition and microbial ecology have been implicated in many autoimmune diseases, and it represents a particularly important area for translational research as a new target for diagnostics and therapeutics in complex inflammatory conditions. Determining the biomolecular mechanisms by which altered microbial communities contribute to human disease will be an important outcome of current functional studies of the human microbiome. In this review, we discuss functional profiling of the human microbiome using metagenomic and metatranscriptomic approaches, focusing on the implications for inflammatory conditions such as inflammatory bowel disease and rheumatoid arthritis. Common themes in gut microbial ecology have emerged among these diverse diseases, but they have not yet been linked to targetable mechanisms such as microbial gene and genome composition, pathway and transcript activity, and metabolism. Combining these microbial activities with host gene, transcript and metabolic information will be necessary to understand how and why these complex interacting systems are altered in disease-associated inflammation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 275 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 3%
Germany 3 1%
Switzerland 1 <1%
Italy 1 <1%
Sweden 1 <1%
India 1 <1%
Netherlands 1 <1%
Mexico 1 <1%
United Kingdom 1 <1%
Other 2 <1%
Unknown 254 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 62 23%
Researcher 61 22%
Student > Master 38 14%
Student > Bachelor 21 8%
Other 16 6%
Other 49 18%
Unknown 28 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 97 35%
Medicine and Dentistry 39 14%
Biochemistry, Genetics and Molecular Biology 31 11%
Immunology and Microbiology 22 8%
Environmental Science 5 2%
Other 36 13%
Unknown 45 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 26 November 2018.
All research outputs
#1,936,798
of 23,393,453 outputs
Outputs from Genome Medicine
#434
of 1,462 outputs
Outputs of similar age
#17,263
of 199,583 outputs
Outputs of similar age from Genome Medicine
#3
of 11 outputs
Altmetric has tracked 23,393,453 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,462 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.9. This one has gotten more attention than average, scoring higher than 70% 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 199,583 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 91% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.