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Explaining, not just predicting, drives interest in personal genomics

Overview of attention for article published in Genome Medicine, August 2015
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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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
2 news outlets
blogs
2 blogs
twitter
24 X users
facebook
2 Facebook pages

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
94 Mendeley
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Title
Explaining, not just predicting, drives interest in personal genomics
Published in
Genome Medicine, August 2015
DOI 10.1186/s13073-015-0188-5
Pubmed ID
Authors

Susanne F. Meisel, Deanna Alexis Carere, Jane Wardle, Sarah S. Kalia, Tanya A. Moreno, Joanna L. Mountain, J. Scott Roberts, Robert C. Green, for the PGen Study Group

Abstract

There is a widespread assumption that risk prediction is the major driver of customer interest in personal genomic testing (PGT). However, some customers may also be motivated by finding out whether their existing diseases have a genetic etiology. We evaluated the impact of an existing medical diagnosis on customer interest in condition-specific results from PGT. Using a prospective online survey of PGT customers, we measured customer interest prior to receiving PGT results for 11 health conditions, and examined the association between interest and personal medical history of these conditions using logistic regression. We analyzed data from 1,538 PGT customers, mean age 48.7 years, 61 % women, 90 % White, and 47 % college educated. The proportion of customers who were 'very interested' in condition-specific PGT varied considerably, from 28 % for ulcerative colitis to 68% for heart disease. After adjusting for demographic and personal characteristics including family history, having a diagnosis of the condition itself was significantly associated with interest in genetic testing for risk of that condition, with odds ratios ranging from 2.07 (95 % CI 1.28-3.37) for diabetes to 19.99 (95 % CI 4.57-87.35) for multiple sclerosis. PGT customers are particularly interested in genetic markers for their existing medical conditions, suggesting that the value of genetic testing is not only predictive, but also explanatory.

X Demographics

X Demographics

The data shown below were collected from the profiles of 24 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 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Netherlands 1 1%
Unknown 91 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 22%
Student > Master 16 17%
Student > Ph. D. Student 14 15%
Other 8 9%
Student > Bachelor 8 9%
Other 16 17%
Unknown 11 12%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 21%
Medicine and Dentistry 16 17%
Agricultural and Biological Sciences 16 17%
Social Sciences 9 10%
Neuroscience 5 5%
Other 13 14%
Unknown 15 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 46. 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 29 November 2021.
All research outputs
#879,354
of 24,878,531 outputs
Outputs from Genome Medicine
#169
of 1,531 outputs
Outputs of similar age
#10,935
of 269,815 outputs
Outputs of similar age from Genome Medicine
#3
of 38 outputs
Altmetric has tracked 24,878,531 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,531 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.2. This one has done well, scoring higher than 89% 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 269,815 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 95% of its contemporaries.
We're also able to compare this research output to 38 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 94% of its contemporaries.