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Cerebral Low-Molecular Metabolites Influenced by Intestinal Microbiota: A Pilot Study

Overview of attention for article published in Frontiers in Systems Neuroscience, January 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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

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21 X users
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1 patent
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4 Facebook pages
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1 Wikipedia page
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1 Redditor

Citations

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180 Dimensions

Readers on

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288 Mendeley
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Title
Cerebral Low-Molecular Metabolites Influenced by Intestinal Microbiota: A Pilot Study
Published in
Frontiers in Systems Neuroscience, January 2013
DOI 10.3389/fnsys.2013.00009
Pubmed ID
Authors

Mitsuharu Matsumoto, Ryoko Kibe, Takushi Ooga, Yuji Aiba, Emiko Sawaki, Yasuhiro Koga, Yoshimi Benno

Abstract

Recent studies suggest that intestinal microbiota influences gut-brain communication. In this study, we aimed to clarify the influence of intestinal microbiota on cerebral metabolism. We analyzed the cerebral metabolome of germ-free (GF) mice and Ex-GF mice, which were inoculated with suspension of feces obtained from specific pathogen-free mice, using capillary electrophoresis with time-of-flight mass spectrometry (CE-TOFMS). CE-TOFMS identified 196 metabolites from the cerebral metabolome in both GF and Ex-GF mice. The concentrations of 38 metabolites differed significantly (p < 0.05) between GF and Ex-GF mice. Approximately 10 of these metabolites are known to be involved in brain function, whilst the functions of the remainder are unclear. Furthermore, we observed a novel association between cerebral glycolytic metabolism and intestinal microbiota. Our work shows that cerebral metabolites are influenced by normal intestinal microbiota through the microbiota-gut-brain axis, and indicates that normal intestinal microbiota closely connected with brain health and disease, development, attenuation, learning, memory, and behavior.

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 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 288 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
France 1 <1%
Italy 1 <1%
South Africa 1 <1%
Canada 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 280 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 48 17%
Student > Ph. D. Student 43 15%
Student > Master 43 15%
Student > Bachelor 34 12%
Student > Doctoral Student 22 8%
Other 44 15%
Unknown 54 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 72 25%
Biochemistry, Genetics and Molecular Biology 35 12%
Medicine and Dentistry 33 11%
Neuroscience 29 10%
Immunology and Microbiology 17 6%
Other 42 15%
Unknown 60 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 14 September 2021.
All research outputs
#1,754,237
of 25,743,152 outputs
Outputs from Frontiers in Systems Neuroscience
#127
of 1,410 outputs
Outputs of similar age
#15,562
of 290,964 outputs
Outputs of similar age from Frontiers in Systems Neuroscience
#14
of 94 outputs
Altmetric has tracked 25,743,152 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,410 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one has done particularly well, scoring higher than 90% 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 290,964 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 94% of its contemporaries.
We're also able to compare this research output to 94 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.