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Does cardiology hold pharmacogenetics to an inconsistent standard? A comparison of evidence among recommendations

Overview of attention for article published in Pharmacogenomics, October 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
5 tweeters

Citations

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8 Dimensions

Readers on

mendeley
15 Mendeley
Title
Does cardiology hold pharmacogenetics to an inconsistent standard? A comparison of evidence among recommendations
Published in
Pharmacogenomics, October 2018
DOI 10.2217/pgs-2018-0097
Pubmed ID
Authors

Jasmine A Luzum, Jason C Cheung

Abstract

Current guideline recommendations for pharmacogenetic testing for clopidogrel by the American Heart Association/American College of Cardiology (AHA/ACC) contradict the Clinical Pharmacogenetics Implementation Consortium and the US FDA. The AHA/ACC recommends against routine pharmacogenetic testing for clopidogrel because no randomized controlled trials have demonstrated that testing improves patients' outcomes. However the AHA/ACC and the National Comprehensive Cancer Network (NCCN) recommend other pharmacogenetic tests in the absence of randomized controlled trials evidence. Using clopidogrel as a case example, we compared the evidence for other pharmacogenetic tests recommended by the AHA/ACC and NCCN. In patients that received percutaneous coronary intervention, the evidence supporting pharmacogenetic testing for clopidogrel is stronger than other pharmacogenetic tests recommended by the AHA/ACC and NCCN.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 33%
Student > Doctoral Student 3 20%
Student > Ph. D. Student 2 13%
Librarian 1 7%
Other 1 7%
Other 1 7%
Unknown 2 13%
Readers by discipline Count As %
Nursing and Health Professions 4 27%
Medicine and Dentistry 3 20%
Biochemistry, Genetics and Molecular Biology 2 13%
Pharmacology, Toxicology and Pharmaceutical Science 2 13%
Economics, Econometrics and Finance 1 7%
Other 0 0%
Unknown 3 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 09 December 2018.
All research outputs
#5,090,574
of 17,193,520 outputs
Outputs from Pharmacogenomics
#216
of 926 outputs
Outputs of similar age
#100,844
of 281,590 outputs
Outputs of similar age from Pharmacogenomics
#1
of 8 outputs
Altmetric has tracked 17,193,520 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 926 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 76% 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 281,590 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 63% of its contemporaries.
We're also able to compare this research output to 8 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