↓ Skip to main content

The microbiome and inborn errors of metabolism: Why we should look carefully at their interplay?

Overview of attention for article published in Genetics and Molecular Biology, September 2018
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#19 of 780)
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

blogs
1 blog
twitter
16 X users

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
109 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
The microbiome and inborn errors of metabolism: Why we should look carefully at their interplay?
Published in
Genetics and Molecular Biology, September 2018
DOI 10.1590/1678-4685-gmb-2017-0235
Pubmed ID
Authors

Karina Colonetti, Luiz Fernando Roesch, Ida Vanessa Doederlein Schwartz

Abstract

Research into the influence of the microbiome on the human body has been shedding new light on diseases long known to be multifactorial, such as obesity, mood disorders, autism, and inflammatory bowel disease. Although inborn errors of metabolism (IEMs) are monogenic diseases, genotype alone is not enough to explain the wide phenotypic variability observed in patients with these conditions. Genetics and diet exert a strong influence on the microbiome, and diet is used (alone or as an adjuvant) in the treatment of many IEMs. This review will describe how the effects of the microbiome on the host can interfere with IEM phenotypes through interactions with organs such as the liver and brain, two of the structures most commonly affected by IEMs. The relationships between treatment strategies for some IEMs and the microbiome will also be addressed. Studies on the microbiome and its influence in individuals with IEMs are still incipient, but are of the utmost importance to elucidating the phenotypic variety observed in these conditions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 109 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 17%
Student > Bachelor 17 16%
Researcher 15 14%
Student > Ph. D. Student 11 10%
Other 6 6%
Other 14 13%
Unknown 28 26%
Readers by discipline Count As %
Medicine and Dentistry 17 16%
Agricultural and Biological Sciences 12 11%
Biochemistry, Genetics and Molecular Biology 11 10%
Immunology and Microbiology 7 6%
Nursing and Health Professions 7 6%
Other 21 19%
Unknown 34 31%
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 23 January 2022.
All research outputs
#2,233,649
of 25,654,806 outputs
Outputs from Genetics and Molecular Biology
#19
of 780 outputs
Outputs of similar age
#44,704
of 346,534 outputs
Outputs of similar age from Genetics and Molecular Biology
#1
of 9 outputs
Altmetric has tracked 25,654,806 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 780 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 97% 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 346,534 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 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them