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Use of combinatorial pharmacogenomic testing in two cases from community psychiatry

Overview of attention for article published in Pharmacogenomics and Personalized Medicine, August 2016
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2 X users
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1 Facebook page

Citations

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Readers on

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78 Mendeley
Title
Use of combinatorial pharmacogenomic testing in two cases from community psychiatry
Published in
Pharmacogenomics and Personalized Medicine, August 2016
DOI 10.2147/pgpm.s106570
Pubmed ID
Authors

Eve S Fields, Raymond A Lorenz, Joel G Winner

Abstract

This report describes two cases in which pharmacogenomic testing was utilized to guide medication selection for difficult to treat patients. The first patient is a 29-year old male with bipolar disorder who had severe akathisia due to his long acting injectable antipsychotic. The second patient is a 59-year old female with major depressive disorder who was not responding to her medication. In both cases, a proprietary combinatorial pharmacogenomic test was used to inform medication changes and improve patient outcomes. The first patient was switched to a long acting injectable that was not affected by his genetic profile and his adverse effects abated. The second patient had her medications discontinued due to the results of the genetic testing and more intense psychotherapy initiated. While pharmacogenomic testing may be helpful in cases such as these presented here, it should never serve as a proxy for a comprehensive biopsychosocial approach. The pharmacogenomic information may be selectively added to this comprehensive approach to support medication treatment.

X Demographics

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 77 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 14%
Student > Bachelor 11 14%
Student > Master 9 12%
Student > Ph. D. Student 7 9%
Other 5 6%
Other 13 17%
Unknown 22 28%
Readers by discipline Count As %
Medicine and Dentistry 16 21%
Pharmacology, Toxicology and Pharmaceutical Science 12 15%
Psychology 8 10%
Agricultural and Biological Sciences 5 6%
Nursing and Health Professions 4 5%
Other 8 10%
Unknown 25 32%
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 21 April 2019.
All research outputs
#16,991,104
of 25,748,735 outputs
Outputs from Pharmacogenomics and Personalized Medicine
#1
of 1 outputs
Outputs of similar age
#244,195
of 382,496 outputs
Outputs of similar age from Pharmacogenomics and Personalized Medicine
#1
of 1 outputs
Altmetric has tracked 25,748,735 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 1.2. This one scored the same or higher as 0 of them.
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 382,496 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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