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Pharmacogenetic Decision Support Tools: A New Paradigm for Late-Life Depression?

Overview of attention for article published in American Journal of Geriatric Psychiatry: Official Journal of the American Association for Geriatric Psychiatry, May 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

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1 Wikipedia page

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66 Mendeley
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Article details
Title
Pharmacogenetic Decision Support Tools: A New Paradigm for Late-Life Depression?
Published in
American Journal of Geriatric Psychiatry: Official Journal of the American Association for Geriatric Psychiatry, May 2017
DOI 10.1016/j.jagp.2017.05.012
Pubmed ID
Authors
Abstract

Clinicians still employ a "trial-and-error" approach to optimizing treatment regimens for late-life depression (LLD). With LLD affecting a significant and growing segment of the population, and with only about half of older adults responsive to antidepressant therapy, there is an urgent need for a better treatment paradigm. Pharmacogenetic decision support tools (DSTs), which are emerging technologies that aim to provide clinically actionable information based on a patient's genetic profile, offer a promising solution. Dozens of DSTs have entered the market in the past 15 years, but with varying level of empirical evidence to support their value. In this clinical review, we provide a critical analysis of the peer-reviewed literature on DSTs for major depression management. We then discuss clinical considerations for the use of these tools in treating LLD, including issues related to test interpretation, timing, and patient perspectives. In adult populations, newer generation DSTs show promise for the treatment of major depression. However, there are no primary clinical trials in LLD cohorts. Independent and comparative clinical trials are needed.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 8 12%
Student > Ph. D. Student 7 11%
Researcher 6 9%
Student > Bachelor 5 8%
Student > Doctoral Student 4 6%
Other 13 20%
Unknown 23 35%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 10 15%
Psychology 9 14%
Neuroscience 7 11%
Pharmacology, Toxicology and Pharmaceutical Science 6 9%
Biochemistry, Genetics and Molecular Biology 2 3%
Other 10 15%
Unknown 22 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 28 January 2021.
All research outputs
#7,409,061
of 34,372,222 outputs
Outputs from American Journal of Geriatric Psychiatry: Official Journal of the American Association for Geriatric Psychiatry
#970
of 2,758 outputs
Outputs of similar age
#92,296
of 360,813 outputs
Outputs of similar age from American Journal of Geriatric Psychiatry: Official Journal of the American Association for Geriatric Psychiatry
#19
of 57 outputs
Altmetric has tracked 34,372,222 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,758 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.7. This one has gotten more attention than average, scoring higher than 64% 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 360,813 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.