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Prescription medication changes following direct-to-consumer personal genomic testing: findings from the Impact of Personal Genomics (PGen) Study

Overview of attention for article published in Genetics in Medicine, September 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

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2 news outlets
blogs
1 blog
twitter
8 X users
facebook
1 Facebook page

Citations

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38 Dimensions

Readers on

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65 Mendeley
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Title
Prescription medication changes following direct-to-consumer personal genomic testing: findings from the Impact of Personal Genomics (PGen) Study
Published in
Genetics in Medicine, September 2016
DOI 10.1038/gim.2016.141
Pubmed ID
Authors

Deanna Alexis Carere, Tyler J. VanderWeele, Jason L. Vassy, Cathelijne H. van der Wouden, J. Scott Roberts, Peter Kraft, Robert C. Green

Abstract

To measure the frequency of prescription medication changes following direct-to-consumer personal genomic testing (DTC-PGT) and their association with the pharmacogenomic results received. New DTC-PGT customers were enrolled in 2012 and completed surveys prior to the return of results and 6 months after results; DTC-PGT results were linked to survey data. "Atypical response" pharmacogenomic results were defined as those indicating an increase or decrease in risk of an adverse drug event or likelihood of therapeutic benefit. At follow-up, participants reported prescription medication changes and health-care provider consultation. Follow-up data were available from 961 participants, of whom 54 (5.6%) reported changing a medication they were taking or starting a new medication due to their DTC-PGT results. Of these, 45 (83.3%) reported consulting with a health-care provider regarding the change. Pharmacogenomic results were available for 961 participants, of which 875 (91.2%) received one or more atypical response results. For each such result received, the odds of reporting a prescription medication change increased 1.57 times (95% confidence interval = 1.17, 2.11). Receipt of pharmacogenomic results indicating an atypical drug response is common with DTC-PGT and is associated with prescription medication changes; however, fewer than 1% of consumers report unsupervised changes at 6 months after testing.Genet Med advance online publication 22 September 2016Genetics in Medicine (2016); doi:10.1038/gim.2016.141.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 18%
Student > Master 9 14%
Other 6 9%
Student > Bachelor 5 8%
Student > Doctoral Student 4 6%
Other 9 14%
Unknown 20 31%
Readers by discipline Count As %
Medicine and Dentistry 12 18%
Pharmacology, Toxicology and Pharmaceutical Science 9 14%
Nursing and Health Professions 5 8%
Biochemistry, Genetics and Molecular Biology 5 8%
Agricultural and Biological Sciences 4 6%
Other 9 14%
Unknown 21 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 34. 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 16 August 2019.
All research outputs
#1,174,901
of 25,371,288 outputs
Outputs from Genetics in Medicine
#357
of 2,943 outputs
Outputs of similar age
#21,220
of 328,631 outputs
Outputs of similar age from Genetics in Medicine
#10
of 58 outputs
Altmetric has tracked 25,371,288 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 2,943 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.0. This one has done well, scoring higher than 87% 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 328,631 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 58 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.