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Navigating pleiotropy in precision medicine: pharmacogenes from trauma to behavioral health

Overview of attention for article published in Pharmacogenomics, April 2016
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1 tweeter

Citations

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7 Dimensions

Readers on

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18 Mendeley
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Title
Navigating pleiotropy in precision medicine: pharmacogenes from trauma to behavioral health
Published in
Pharmacogenomics, April 2016
DOI 10.2217/pgs.16.6
Pubmed ID
Authors

Vicki Oberg, Jerome Differding, Morgan Fisher, Lindsay Hines, Russell A Wilke

Abstract

A strong emerging principle in the field of precision medicine is that variation in any one pharmacogene may impact clinical outcome for more than one drug. Variants tested in the acute care setting often have downstream implications for other drugs impacting chronic disease management. A flexible framework is needed as clinicians and scientists move toward deploying automated decision support for gene-based drug dosing in electronic medical records.

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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 22%
Student > Master 4 22%
Researcher 3 17%
Other 2 11%
Student > Bachelor 1 6%
Other 2 11%
Unknown 2 11%
Readers by discipline Count As %
Medicine and Dentistry 6 33%
Computer Science 4 22%
Biochemistry, Genetics and Molecular Biology 2 11%
Economics, Econometrics and Finance 1 6%
Nursing and Health Professions 1 6%
Other 3 17%
Unknown 1 6%

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 04 April 2016.
All research outputs
#10,045,725
of 12,556,708 outputs
Outputs from Pharmacogenomics
#603
of 814 outputs
Outputs of similar age
#184,621
of 264,081 outputs
Outputs of similar age from Pharmacogenomics
#14
of 20 outputs
Altmetric has tracked 12,556,708 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 814 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 10th percentile – i.e., 10% 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 264,081 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.