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A 6-week laboratory research rotation in pharmacogenomics: a model for preparing pharmacy students to practice precision medicine

Overview of attention for article published in The Pharmacogenomics Journal, March 2018
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Title
A 6-week laboratory research rotation in pharmacogenomics: a model for preparing pharmacy students to practice precision medicine
Published in
The Pharmacogenomics Journal, March 2018
DOI 10.1038/s41397-018-0019-3
Pubmed ID
Authors

Prema S. Rao, Ryan Endicott, Randy Mullins, U. Subrahmanyeswara Rao

Abstract

Comparison of human genome sequences from different individuals has unraveled that genes involved in the drug efficacy and metabolism are polymorphic, harboring mutations, splicing variations and other alterations. These data provide a reasonable explanation for the inter-individual variations observed in drug therapy. Thus, a detailed molecular analysis and an in-depth knowledge of these genes is a prerequisite to practice pharmacogenomics-based medicine. We have introduced a 6-week laboratory research rotation to train students in the expression analysis of different pharmacogenes combined with bioinformatics tools. Students were first introduced to the bioinformatics tools to identify appropriate DNA primers to amplify specific pharmacogenes from the laboratory cancer cell lines. The amplified DNA fragments were sequenced. Finally, students were trained in bioinformatics tools to establish the identity of these DNA sequences. The possible implications of this laboratory training in developing problem-solving skills needed in the implementation of pharmacogenomics knowledge in the clinic, are discussed.

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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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 27%
Professor 2 13%
Researcher 2 13%
Student > Ph. D. Student 1 7%
Unknown 6 40%
Readers by discipline Count As %
Medicine and Dentistry 4 27%
Pharmacology, Toxicology and Pharmaceutical Science 3 20%
Biochemistry, Genetics and Molecular Biology 1 7%
Computer Science 1 7%
Agricultural and Biological Sciences 1 7%
Other 0 0%
Unknown 5 33%
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 09 March 2018.
All research outputs
#15,116,049
of 24,003,070 outputs
Outputs from The Pharmacogenomics Journal
#544
of 854 outputs
Outputs of similar age
#192,185
of 335,817 outputs
Outputs of similar age from The Pharmacogenomics Journal
#5
of 6 outputs
Altmetric has tracked 24,003,070 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 854 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
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 335,817 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.