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Mirror, mirror on the wall: which microbiomes will help heal them all?

Overview of attention for article published in BMC Medicine, May 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

news
2 news outlets
twitter
34 X users
facebook
3 Facebook pages

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
142 Mendeley
citeulike
1 CiteULike
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Title
Mirror, mirror on the wall: which microbiomes will help heal them all?
Published in
BMC Medicine, May 2016
DOI 10.1186/s12916-016-0622-6
Pubmed ID
Authors

Renuka R. Nayak, Peter J. Turnbaugh

Abstract

Clinicians have known for centuries that there is substantial variability between patients in their response to medications-some individuals exhibit a miraculous recovery while others fail to respond at all. Still others experience dangerous side effects. The hunt for the factors responsible for this variation has been aided by the ability to sequence the human genome, but this just provides part of the picture. Here, we discuss the emerging field of study focused on the human microbiome and how it may help to better predict drug response and improve the treatment of human disease. Various clinical disciplines characterize drug response using either continuous or categorical descriptors that are then correlated to environmental and genetic risk factors. However, these approaches typically ignore the microbiome, which can directly metabolize drugs into downstream metabolites with altered activity, clearance, and/or toxicity. Variations in the ability of each individual's microbiome to metabolize drugs may be an underappreciated source of differences in clinical response. Complementary studies in humans and animal models are necessary to elucidate the mechanisms responsible and to test the feasibility of identifying microbiome-based biomarkers of treatment outcomes. We propose that the predictive power of genetic testing could be improved by taking a more comprehensive view of human genetics that encompasses our human and microbial genomes. Furthermore, unlike the human genome, the microbiome is rapidly altered by diet, pharmaceuticals, and other interventions, providing the potential to improve patient care by re-shaping our associated microbial communities.

X Demographics

X Demographics

The data shown below were collected from the profiles of 34 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 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 1%
Denmark 2 1%
Canada 1 <1%
France 1 <1%
Belgium 1 <1%
United States 1 <1%
Unknown 134 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 33 23%
Student > Ph. D. Student 23 16%
Student > Master 22 15%
Student > Bachelor 14 10%
Student > Doctoral Student 7 5%
Other 20 14%
Unknown 23 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 23%
Biochemistry, Genetics and Molecular Biology 27 19%
Medicine and Dentistry 20 14%
Pharmacology, Toxicology and Pharmaceutical Science 7 5%
Immunology and Microbiology 5 4%
Other 21 15%
Unknown 29 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 34. 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 09 October 2023.
All research outputs
#1,171,470
of 25,452,734 outputs
Outputs from BMC Medicine
#832
of 4,021 outputs
Outputs of similar age
#19,832
of 312,630 outputs
Outputs of similar age from BMC Medicine
#12
of 53 outputs
Altmetric has tracked 25,452,734 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,021 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.8. This one has done well, scoring higher than 79% 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 312,630 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 93% of its contemporaries.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.