↓ Skip to main content

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, February 2014
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#9 of 636)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
policy
2 policy sources
twitter
16 X users
facebook
1 Facebook page
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
338 Dimensions

Readers on

mendeley
300 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
Incorporation of Pharmacogenomics into Routine Clinical Practice: the Clinical Pharmacogenetics Implementation Consortium (CPIC) Guideline Development Process
Published in
Current Drug Metabolism, February 2014
DOI 10.2174/1389200215666140130124910
Pubmed ID
Authors

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

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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 300 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
Portugal 1 <1%
Unknown 296 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 57 19%
Student > Master 41 14%
Student > Bachelor 28 9%
Other 27 9%
Student > Ph. D. Student 25 8%
Other 70 23%
Unknown 52 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 54 18%
Medicine and Dentistry 52 17%
Pharmacology, Toxicology and Pharmaceutical Science 51 17%
Agricultural and Biological Sciences 37 12%
Nursing and Health Professions 7 2%
Other 32 11%
Unknown 67 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 42. 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 20 January 2023.
All research outputs
#993,535
of 26,017,215 outputs
Outputs from Current Drug Metabolism
#9
of 636 outputs
Outputs of similar age
#10,708
of 327,847 outputs
Outputs of similar age from Current Drug Metabolism
#1
of 21 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 636 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done particularly well, scoring higher than 96% 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 327,847 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 96% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.