↓ Skip to main content

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
Altmetric Badge

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
8 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 25%
Student > Ph. D. Student 1 13%
Student > Bachelor 1 13%
Lecturer 1 13%
Student > Postgraduate 1 13%
Other 0 0%
Unknown 2 25%
Readers by discipline Count As %
Medicine and Dentistry 2 25%
Biochemistry, Genetics and Molecular Biology 2 25%
Neuroscience 1 13%
Pharmacology, Toxicology and Pharmaceutical Science 1 13%
Unknown 2 25%

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
#12,909,949
of 14,644,185 outputs
Outputs from Pharmacogenomics
#790
of 874 outputs
Outputs of similar age
#179,630
of 213,558 outputs
Outputs of similar age from Pharmacogenomics
#6
of 7 outputs
Altmetric has tracked 14,644,185 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 874 research outputs from this source. They receive a mean Attention Score of 3.6. 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 213,558 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 7 others from the same source and published within six weeks on either side of this one.