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Pharmacomicrobiomics: a novel route towards personalized medicine?

Overview of attention for article published in Protein & Cell, April 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#24 of 822)
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
5 news outlets
twitter
35 X users
facebook
2 Facebook pages
wikipedia
1 Wikipedia page

Citations

dimensions_citation
128 Dimensions

Readers on

mendeley
254 Mendeley
Title
Pharmacomicrobiomics: a novel route towards personalized medicine?
Published in
Protein & Cell, April 2018
DOI 10.1007/s13238-018-0547-2
Pubmed ID
Authors

Marwah Doestzada, Arnau Vich Vila, Alexandra Zhernakova, Debby P Y Koonen, Rinse K Weersma, Daan J Touw, Folkert Kuipers, Cisca Wijmenga, Jingyuan Fu

Abstract

Inter-individual heterogeneity in drug response is a serious problem that affects the patient's wellbeing and poses enormous clinical and financial burdens on a societal level. Pharmacogenomics has been at the forefront of research into the impact of individual genetic background on drug response variability or drug toxicity, and recently the gut microbiome, which has also been called the second genome, has been recognized as an important player in this respect. Moreover, the microbiome is a very attractive target for improving drug efficacy and safety due to the opportunities to manipulate its composition. Pharmacomicrobiomics is an emerging field that investigates the interplay of microbiome variation and drugs response and disposition (absorption, distribution, metabolism and excretion). In this review, we provide a historical overview and examine current state-of-the-art knowledge on the complex interactions between gut microbiome, host and drugs. We argue that combining pharmacogenomics and pharmacomicrobiomics will provide an important foundation for making major advances in personalized medicine.

X Demographics

X Demographics

The data shown below were collected from the profiles of 35 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 254 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 254 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 20%
Researcher 33 13%
Student > Master 33 13%
Student > Bachelor 27 11%
Other 15 6%
Other 34 13%
Unknown 61 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 60 24%
Agricultural and Biological Sciences 31 12%
Medicine and Dentistry 26 10%
Pharmacology, Toxicology and Pharmaceutical Science 21 8%
Immunology and Microbiology 9 4%
Other 31 12%
Unknown 76 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 65. 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 20 December 2023.
All research outputs
#664,666
of 25,753,031 outputs
Outputs from Protein & Cell
#24
of 822 outputs
Outputs of similar age
#14,643
of 340,995 outputs
Outputs of similar age from Protein & Cell
#2
of 28 outputs
Altmetric has tracked 25,753,031 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 822 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.5. 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 340,995 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 95% of its contemporaries.
We're also able to compare this research output to 28 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.