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Antidepressant prescribing in the precision medicine era: a prescriber’s primer on pharmacogenetic tools

Overview of attention for article published in BMC Psychiatry, February 2017
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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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

news
3 news outlets
twitter
13 X users
patent
2 patents
facebook
1 Facebook page

Citations

dimensions_citation
65 Dimensions

Readers on

mendeley
150 Mendeley
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Title
Antidepressant prescribing in the precision medicine era: a prescriber’s primer on pharmacogenetic tools
Published in
BMC Psychiatry, February 2017
DOI 10.1186/s12888-017-1230-5
Pubmed ID
Authors

Chad A. Bousman, Malcolm Forbes, Mahesh Jayaram, Harris Eyre, Charles F. Reynolds, Michael Berk, Malcolm Hopwood, Chee Ng

Abstract

About half of people who take antidepressants do not respond and many experience adverse effects. These detrimental outcomes are in part a result of the impact of an individual's genetic profile on pharmacokinetics and pharmcodynamics. If known and made available to clinicians, this could improve decision-making and antidepressant therapy outcomes. This has spurred the development of numerous pharmacogenetic-based decision support tools. In this article, we provide an overview of pharmacogenetic decision support tools, with particular focus on tools relevant to antidepressants. We briefly describe the evolution and current state of antidepressant pharmacogenetic decision support tools in clinical practice, followed by the evidence-base for their use. Finally, we present a series of considerations for clinicians contemplating use of these tools and discuss the future of antidepressant pharmacogenetic decision support tools.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 150 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 150 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 16%
Student > Master 23 15%
Student > Ph. D. Student 18 12%
Other 17 11%
Student > Bachelor 12 8%
Other 28 19%
Unknown 28 19%
Readers by discipline Count As %
Medicine and Dentistry 28 19%
Pharmacology, Toxicology and Pharmaceutical Science 24 16%
Biochemistry, Genetics and Molecular Biology 18 12%
Neuroscience 13 9%
Psychology 9 6%
Other 22 15%
Unknown 36 24%
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 27 July 2021.
All research outputs
#1,179,190
of 25,332,933 outputs
Outputs from BMC Psychiatry
#343
of 5,421 outputs
Outputs of similar age
#25,389
of 432,440 outputs
Outputs of similar age from BMC Psychiatry
#11
of 91 outputs
Altmetric has tracked 25,332,933 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 5,421 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one has done particularly well, scoring higher than 93% 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 432,440 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 94% of its contemporaries.
We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.