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Multisite Investigation of Strategies for the Implementation of CYP2C19 Genotype‐Guided Antiplatelet Therapy

Overview of attention for article published in Clinical Pharmacology & Therapeutics, January 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

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12 X users

Citations

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95 Dimensions

Readers on

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74 Mendeley
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Title
Multisite Investigation of Strategies for the Implementation of CYP2C19 Genotype‐Guided Antiplatelet Therapy
Published in
Clinical Pharmacology & Therapeutics, January 2018
DOI 10.1002/cpt.1006
Pubmed ID
Authors

Philip E. Empey, James M. Stevenson, Sony Tuteja, Kristin W. Weitzel, Dominick J. Angiolillo, Amber L. Beitelshees, James C. Coons, Julio D. Duarte, Francesco Franchi, Linda J.B. Jeng, Julie A. Johnson, Rolf P. Kreutz, Nita A. Limdi, Kristin A. Maloney, Aniwaa Owusu Obeng, Josh F. Peterson, Natasha Petry, Victoria M. Pratt, Fabiana Rollini, Stuart A. Scott, Todd C. Skaar, Mark R. Vesely, George A. Stouffer, Russell A. Wilke, Larisa H. Cavallari, Craig R. Lee, on behalf of the IGNITE Network

Abstract

CYP2C19 genotype-guided antiplatelet therapy following percutaneous coronary intervention is increasingly implemented in clinical practice. However, challenges such as selecting a testing platform, communicating test results, building clinical decision support processes, providing patient and provider education, and integrating methods to support the translation of emerging evidence to clinical practice are barriers to broad adoption. In this report, we compare and contrast implementation strategies of 12 early adopters, describing solutions to common problems and initial performance metrics for each program. Key differences between programs included the test result turnaround time and timing of therapy changes which are both related to CYP2C19 testing model and platform used. Sites reported the need for new informatics infrastructure, expert clinicians such as pharmacists to interpret results, physician champions, and ongoing education. Consensus lessons learned are presented to provide a path forward for those seeking to implement similar clinical pharmacogenomics programs within their institutions. This article is protected by copyright. All rights reserved.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users 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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 74 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 11%
Student > Doctoral Student 8 11%
Researcher 7 9%
Other 6 8%
Student > Bachelor 5 7%
Other 15 20%
Unknown 25 34%
Readers by discipline Count As %
Medicine and Dentistry 21 28%
Pharmacology, Toxicology and Pharmaceutical Science 15 20%
Nursing and Health Professions 3 4%
Agricultural and Biological Sciences 2 3%
Computer Science 2 3%
Other 3 4%
Unknown 28 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 08 June 2022.
All research outputs
#3,350,259
of 24,458,924 outputs
Outputs from Clinical Pharmacology & Therapeutics
#644
of 4,370 outputs
Outputs of similar age
#74,470
of 449,212 outputs
Outputs of similar age from Clinical Pharmacology & Therapeutics
#12
of 62 outputs
Altmetric has tracked 24,458,924 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,370 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one has done well, scoring higher than 85% 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 449,212 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.