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An Ontology Systems Approach on Human Brain Expression and Metaproteomics

Overview of attention for article published in Frontiers in Microbiology, March 2018
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Title
An Ontology Systems Approach on Human Brain Expression and Metaproteomics
Published in
Frontiers in Microbiology, March 2018
DOI 10.3389/fmicb.2018.00406
Pubmed ID
Authors

Adolfo Flores Saiffe Farías, Adriana P. Mendizabal, J. Alejandro Morales

Abstract

Research in the last decade has shown growing evidence of the gut microbiota influence on brain physiology. While many mechanisms of this influence have been proposed in animal models, most studies in humans are the result of a pathology-dysbiosis association and very few have related the presence of certain taxa with brain substructures or molecular pathways. In this paper, we associated the functional ontologies in the differential expression of brain substructures from the Allen Brain Atlas database, with those of the metaproteome from the Human Microbiome Project. Our results showed several coherent clustered ontologies where many taxa could influence brain expression and physiology. A detailed analysis of psychobiotics showed specific slim ontologies functionally associated with substructures in the basal ganglia and cerebellar cortex. Some of the most relevant slim ontology groups are related to Ion transport, Membrane potential, Synapse, DNA and RNA metabolism, and Antigen processing, while the most relevant neuropathology found was Parkinson disease. In some of these cases, new hypothetical gut microbiota-brain interaction pathways are proposed.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 19%
Student > Ph. D. Student 7 12%
Student > Bachelor 6 10%
Student > Postgraduate 4 7%
Professor 4 7%
Other 13 22%
Unknown 14 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 19%
Neuroscience 9 15%
Agricultural and Biological Sciences 3 5%
Medicine and Dentistry 3 5%
Engineering 3 5%
Other 10 17%
Unknown 20 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 24 March 2018.
All research outputs
#20,469,520
of 23,028,364 outputs
Outputs from Frontiers in Microbiology
#22,735
of 25,154 outputs
Outputs of similar age
#293,884
of 332,633 outputs
Outputs of similar age from Frontiers in Microbiology
#541
of 591 outputs
Altmetric has tracked 23,028,364 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 25,154 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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