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Treatment-resistant schizophrenia: current insights on the pharmacogenomics of antipsychotics

Overview of attention for article published in Pharmacogenomics and Personalized Medicine, November 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#2 of 374)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

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9 news outlets
blogs
2 blogs
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5 X users
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1 Facebook page

Citations

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111 Dimensions

Readers on

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347 Mendeley
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Title
Treatment-resistant schizophrenia: current insights on the pharmacogenomics of antipsychotics
Published in
Pharmacogenomics and Personalized Medicine, November 2016
DOI 10.2147/pgpm.s115741
Pubmed ID
Authors

John Lally, Fiona Gaughran, Philip Timms, Sarah R Curran

Abstract

Up to 30% of people with schizophrenia do not respond to two (or more) trials of dopaminergic antipsychotics. They are said to have treatment-resistant schizophrenia (TRS). Clozapine is still the only effective treatment for TRS, although it is underused in clinical practice. Initial use is delayed, it can be hard for patients to tolerate, and clinicians can be uncertain as to when to use it. What if, at the start of treatment, we could identify those patients likely to respond to clozapine - and those likely to suffer adverse effects? It is likely that clinicians would feel less inhibited about using it, allowing clozapine to be used earlier and more appropriately. Genetic testing holds out the tantalizing possibility of being able to do just this, and hence the vital importance of pharmacogenomic studies. These can potentially identify genetic markers for both tolerance of and vulnerability to clozapine. We aim to summarize progress so far, possible clinical applications, limitations to the evidence, and problems in applying these findings to the management of TRS. Pharmacogenomic studies of clozapine response and tolerability have produced conflicting results. These are due, at least in part, to significant differences in the patient groups studied. The use of clinical pharmacogenomic testing - to personalize clozapine treatment and identify patients at high risk of treatment failure or of adverse events - has moved closer over the last 20 years. However, to develop such testing that could be used clinically will require larger, multicenter, prospective studies.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 347 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 347 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 63 18%
Student > Master 42 12%
Researcher 36 10%
Student > Ph. D. Student 31 9%
Student > Postgraduate 27 8%
Other 58 17%
Unknown 90 26%
Readers by discipline Count As %
Medicine and Dentistry 81 23%
Neuroscience 34 10%
Pharmacology, Toxicology and Pharmaceutical Science 27 8%
Biochemistry, Genetics and Molecular Biology 21 6%
Psychology 21 6%
Other 57 16%
Unknown 106 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 88. 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 26 October 2023.
All research outputs
#495,765
of 25,773,273 outputs
Outputs from Pharmacogenomics and Personalized Medicine
#2
of 374 outputs
Outputs of similar age
#9,437
of 318,933 outputs
Outputs of similar age from Pharmacogenomics and Personalized Medicine
#1
of 5 outputs
Altmetric has tracked 25,773,273 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 374 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 99% 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 318,933 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 97% of its contemporaries.
We're also able to compare this research output to 5 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