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Current Applications of Pharmaceutical Biotechnology

Overview of attention for book
Attention for Chapter 110: The Impact of Pharmacogenomics in Personalized Medicine.
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Chapter title
The Impact of Pharmacogenomics in Personalized Medicine.
Chapter number 110
Book title
Current Applications of Pharmaceutical Biotechnology
Published in
Advances in biochemical engineering biotechnology, September 2019
DOI 10.1007/10_2019_110
Pubmed ID
Book ISBNs
978-3-03-040463-5, 978-3-03-040464-2
Authors

Singh, Dev Bukhsh, Dev Bukhsh Singh

Abstract

Recent advances in Pharmacogenomics have made it possible to understand the reasons behind the different response of a drug. Discovery of genetic variants and its association with the varying response of drug provide the basis for recommending a drug and its dose to an individual patient. Genetic makeup-based prescription, design, and implementation of therapy not only improve the outcome of treatments but also reduce the risk of toxicity and other adverse effects. A better understanding of individual variations and their effect on drug response, metabolism excretion, and toxicity will replace the trial-and-error approach of treatment. Evidence of the clinical utility of pharmacogenetics testing is only available for a few medications, and FDA labels only require pharmacogenetics testing for a small number of drugs. Although there is a great promise, there are not many examples where Pharmacogenomics impacts clinical utility. Some genetic variants related to different diseases have been reported, and many have not been studied yet. The information related to the outcome of treatment with a particular drug and a genetic variant can be used to release a warning/label for the use of that drug. There are many limitations in the way of implementing the goal of personalized medicine. Future advances in the field of genomics, diagnosis approaches, data analysis, clinical decision-making, and sustainable business model for personalization of therapy can speed up the individualization of therapy based on genetic makeup.

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X Demographics

The data shown below were collected from the profiles of 2 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 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 89 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 13%
Student > Bachelor 12 13%
Student > Ph. D. Student 6 7%
Other 5 6%
Researcher 5 6%
Other 14 16%
Unknown 35 39%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 13 15%
Biochemistry, Genetics and Molecular Biology 12 13%
Medicine and Dentistry 5 6%
Business, Management and Accounting 4 4%
Agricultural and Biological Sciences 3 3%
Other 12 13%
Unknown 40 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 June 2021.
All research outputs
#15,051,706
of 23,163,378 outputs
Outputs from Advances in biochemical engineering biotechnology
#109
of 226 outputs
Outputs of similar age
#199,402
of 340,674 outputs
Outputs of similar age from Advances in biochemical engineering biotechnology
#1
of 2 outputs
Altmetric has tracked 23,163,378 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 226 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 50% 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 340,674 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 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