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Gut Microbiota Profiling: Metabolomics Based Approach to Unravel Compounds Affecting Human Health

Overview of attention for article published in Frontiers in Microbiology, July 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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

blogs
1 blog
twitter
11 X users
patent
1 patent
googleplus
1 Google+ user
video
1 YouTube creator

Citations

dimensions_citation
294 Dimensions

Readers on

mendeley
740 Mendeley
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Title
Gut Microbiota Profiling: Metabolomics Based Approach to Unravel Compounds Affecting Human Health
Published in
Frontiers in Microbiology, July 2016
DOI 10.3389/fmicb.2016.01144
Pubmed ID
Authors

Pamela Vernocchi, Federica Del Chierico, Lorenza Putignani

Abstract

The gut microbiota is composed of a huge number of different bacteria, that produce a large amount of compounds playing a key role in microbe selection and in the construction of a metabolic signaling network. The microbial activities are affected by environmental stimuli leading to the generation of a wide number of compounds, that influence the host metabolome and human health. Indeed, metabolite profiles related to the gut microbiota can offer deep insights on the impact of lifestyle and dietary factors on chronic and acute diseases. Metagenomics, metaproteomics and metabolomics are some of the meta-omics approaches to study the modulation of the gut microbiota. Metabolomic research applied to biofluids allows to: define the metabolic profile; identify and quantify classes and compounds of interest; characterize small molecules produced by intestinal microbes; and define the biochemical pathways of metabolites. Mass spectrometry and nuclear magnetic resonance spectroscopy are the principal technologies applied to metabolomics in terms of coverage, sensitivity and quantification. Moreover, the use of biostatistics and mathematical approaches coupled with metabolomics play a key role in the extraction of biologically meaningful information from wide datasets. Metabolomic studies in gut microbiota-related research have increased, focusing on the generation of novel biomarkers, which could lead to the development of mechanistic hypotheses potentially applicable to the development of nutritional and personalized therapies.

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 740 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 <1%
Austria 1 <1%
Nepal 1 <1%
Denmark 1 <1%
United States 1 <1%
Unknown 734 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 138 19%
Researcher 133 18%
Student > Master 103 14%
Student > Bachelor 59 8%
Student > Doctoral Student 45 6%
Other 106 14%
Unknown 156 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 134 18%
Agricultural and Biological Sciences 123 17%
Medicine and Dentistry 74 10%
Immunology and Microbiology 68 9%
Chemistry 44 6%
Other 110 15%
Unknown 187 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 02 November 2022.
All research outputs
#1,998,442
of 24,885,505 outputs
Outputs from Frontiers in Microbiology
#1,387
of 28,434 outputs
Outputs of similar age
#36,609
of 374,118 outputs
Outputs of similar age from Frontiers in Microbiology
#34
of 460 outputs
Altmetric has tracked 24,885,505 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 28,434 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. 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 374,118 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 90% of its contemporaries.
We're also able to compare this research output to 460 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.