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CYP2C19 genotype, physician prescribing pattern, and risk for long QT on serotonin selective reuptake inhibitors

Overview of attention for article published in Pharmacogenomics, April 2019
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1 X user

Citations

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5 Dimensions

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29 Mendeley
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Title
CYP2C19 genotype, physician prescribing pattern, and risk for long QT on serotonin selective reuptake inhibitors
Published in
Pharmacogenomics, April 2019
DOI 10.2217/pgs-2018-0156
Pubmed ID
Authors

Natasha Petry, Roxana Lupu, Ahmed Gohar, Eric A Larson, Carmen Peterson, Vanessa Williams, Jing Zhao, Russell A Wilke, Lindsay J Hines

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 17%
Student > Bachelor 4 14%
Student > Ph. D. Student 2 7%
Student > Postgraduate 2 7%
Researcher 2 7%
Other 1 3%
Unknown 13 45%
Readers by discipline Count As %
Medicine and Dentistry 5 17%
Pharmacology, Toxicology and Pharmaceutical Science 3 10%
Biochemistry, Genetics and Molecular Biology 3 10%
Psychology 1 3%
Agricultural and Biological Sciences 1 3%
Other 2 7%
Unknown 14 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 16 April 2019.
All research outputs
#22,767,715
of 25,385,509 outputs
Outputs from Pharmacogenomics
#1,070
of 1,174 outputs
Outputs of similar age
#318,100
of 364,697 outputs
Outputs of similar age from Pharmacogenomics
#10
of 11 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,174 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 1st percentile – i.e., 1% 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 364,697 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.