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Incorporation of Pharmacogenomics into Routine Clinical Practice: the Clinical Pharmacogenetics Implementation Consortium (CPIC) Guideline Development Process

Overview of attention for article published in Current Drug Metabolism, January 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#8 of 429)
  • High Attention Score compared to outputs of the same age (93rd percentile)

Mentioned by

policy
2 policy sources
twitter
18 tweeters
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

dimensions_citation
174 Dimensions

Readers on

mendeley
177 Mendeley
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Title
Incorporation of Pharmacogenomics into Routine Clinical Practice: the Clinical Pharmacogenetics Implementation Consortium (CPIC) Guideline Development Process
Published in
Current Drug Metabolism, January 2014
DOI 10.2174/1389200215666140130124910
Pubmed ID
Authors

Caudle KE, Klein TE, Hoffman JM, Müller DJ, Whirl-Carrillo M, Gong L, McDonagh EM, Sangkuhl K, Thorn CF, Schwab M, Agunder JA, Freimuth RR, Huser V, Lee MT, Iwuchukwu OF, Crews KR, Scott SA, Wadelius M, Swen JJ, Tyndale RF, Stein CM, Roden D, Relling MV, Williams MS, Johnson SG, Kelly E. Caudle, Teri E. Klein, James M. Hoffman, Daniel J. Müller, Michelle Whirl-Carrillo, Li Gong, Ellen M. McDonagh, Katrin Sangkuhl, Caroline F. Thorn, Matthias Schwab, José A.G. Agúndez, Robert R. Freimuth, Vojtech Huser, Ming Ta Michael Lee, Otito F. Iwuchukwu, Kristine R. Crews, Stuart A. Scott, Mia Wadelius, Jesse J. Swen, Rachel F. Tyndale, C. Michael Stein, Dan Roden, Mary V. Relling, Marc S. Williams, Samuel G. Johnson, Kelly Caudle, Teri Klein, James Hoffman, Daniel Muller, Ellen McDonagh, Caroline Thorn, Jose Agundez, Robert Freimuth, Ming Michael Lee, Otito Iwuchukwu, Kristine Crews, Stuart Scott, Jesse Swen, Rachel Tyndale, C. Stein, Mary Relling, Marc Williams, Samuel Johnson, Caudle, Kelly E, Klein, Teri E, Hoffman, James M, Muller, Daniel J, Whirl-Carrillo, Michelle, Gong, Li, McDonagh, Ellen M, Sangkuhl, Katrin, Thorn, Caroline F, Schwab, Matthias, Agundez, Jose A G, Freimuth, Robert R, Huser, Vojtech, Lee, Ming Ta Michael, Iwuchukwu, Otito F, Crews, Kristine R, Scott, Stuart A, Wadelius, Mia, Swen, Jesse J, Tyndale, Rachel F, Stein, C Michael, Roden, Dan, Relling, Mary V, Williams, Marc S, Johnson, Samuel G

Abstract

The Clinical Pharmacogenetics Implementation Consortium (CPIC) publishes genotype-based drug guidelines to help clinicians understand how available genetic test results could be used to optimize drug therapy. CPIC has focused initially on well-known examples of pharmacogenomic associations that have been implemented in selected clinical settings, publishing nine to date. Each CPIC guideline adheres to a standardized format and includes a standard system for grading levels of evidence linking genotypes to phenotypes and assigning a level of strength to each prescribing recommendation. CPIC guidelines contain the necessary information to help clinicians translate patient-specific diplotypes for each gene into clinical phenotypes or drug dosing groups. This paper reviews the development process of the CPIC guidelines and compares this process to the Institute of Medicine's Standards for Developing Trustworthy Clinical Practice Guidelines.

Twitter Demographics

The data shown below were collected from the profiles of 18 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 177 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Mexico 1 <1%
Japan 1 <1%
Portugal 1 <1%
Unknown 171 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 20%
Student > Master 26 15%
Other 23 13%
Student > Ph. D. Student 20 11%
Professor > Associate Professor 17 10%
Other 56 32%
Readers by discipline Count As %
Medicine and Dentistry 38 21%
Agricultural and Biological Sciences 34 19%
Pharmacology, Toxicology and Pharmaceutical Science 30 17%
Biochemistry, Genetics and Molecular Biology 29 16%
Unspecified 23 13%
Other 23 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 07 June 2019.
All research outputs
#791,602
of 13,736,382 outputs
Outputs from Current Drug Metabolism
#8
of 429 outputs
Outputs of similar age
#12,939
of 190,765 outputs
Outputs of similar age from Current Drug Metabolism
#1
of 4 outputs
Altmetric has tracked 13,736,382 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 429 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 98% 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 190,765 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 4 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