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Mucosal Interactions between Genetics, Diet, and Microbiome in Inflammatory Bowel Disease

Overview of attention for article published in Frontiers in immunology, August 2016
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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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

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9 X users
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3 Facebook pages
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8 Google+ users

Citations

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98 Dimensions

Readers on

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317 Mendeley
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Title
Mucosal Interactions between Genetics, Diet, and Microbiome in Inflammatory Bowel Disease
Published in
Frontiers in immunology, August 2016
DOI 10.3389/fimmu.2016.00290
Pubmed ID
Authors

Abigail Basson, Ashley Trotter, Alex Rodriguez-Palacios, Fabio Cominelli

Abstract

Numerous reviews have discussed gut microbiota composition changes during inflammatory bowel diseases (IBD), particularly Crohn's disease (CD). However, most studies address the observed effects by focusing on studying the univariate connection between disease and dietary-induced alterations to gut microbiota composition. The possibility that these effects may reflect a number of other interconnected (i.e., pantropic) mechanisms, activated in parallel, particularly concerning various bacterial metabolites, is in the process of being elucidated. Progress seems, however, hampered by various difficult-to-study factors interacting at the mucosal level. Here, we highlight some of such factors that merit consideration, namely: (1) the contribution of host genetics and diet in altering gut microbiome, and in turn, the crosstalk among secondary metabolic pathways; (2) the interdependence between the amount of dietary fat, the fatty acid composition, the effects of timing and route of administration on gut microbiota community, and the impact of microbiota-derived fatty acids; (3) the effect of diet on bile acid composition, and the modulator role of bile acids on the gut microbiota; (4) the impact of endogenous and exogenous intestinal micronutrients and metabolites; and (5) the need to consider food associated toxins and chemicals, which can introduce confounding immune modulating elements (e.g., antioxidant and phytochemicals in oils and proteins). These concepts, which are not mutually exclusive, are herein illustrated paying special emphasis on physiologically inter-related processes.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 317 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Ireland 1 <1%
Germany 1 <1%
Unknown 314 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 61 19%
Researcher 51 16%
Student > Master 42 13%
Student > Bachelor 28 9%
Other 19 6%
Other 58 18%
Unknown 58 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 57 18%
Biochemistry, Genetics and Molecular Biology 46 15%
Immunology and Microbiology 46 15%
Medicine and Dentistry 44 14%
Nursing and Health Professions 14 4%
Other 39 12%
Unknown 71 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 January 2020.
All research outputs
#2,658,128
of 25,394,764 outputs
Outputs from Frontiers in immunology
#2,702
of 31,554 outputs
Outputs of similar age
#47,846
of 381,706 outputs
Outputs of similar age from Frontiers in immunology
#9
of 119 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 31,554 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done particularly well, scoring higher than 91% 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 381,706 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 119 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 92% of its contemporaries.