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Health-Related Genetic Direct-to-Consumer Tests in the German Setting: The Available Offer and the Potential Implications for a Solidarily Financed Health-Care System

Overview of attention for article published in Public Health Genomics, June 2017
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Title
Health-Related Genetic Direct-to-Consumer Tests in the German Setting: The Available Offer and the Potential Implications for a Solidarily Financed Health-Care System
Published in
Public Health Genomics, June 2017
DOI 10.1159/000477559
Pubmed ID
Authors

Marika Plöthner, Mike Klora, Daniel Rudolph, Johann-Matthias Graf von der Schulenburg

Abstract

The global genetic direct-to-consumer (DTC) market will reach a volume of USD 230 billion in 2018. The expenditures for this genetic analysis are borne by the customer, whereas consequential costs may arise for a solidarily financed system. In a first step, it is essential to gain an overview of the currently available offer in the German setting. In April 2016, we conducted a systematic internet search in the Google search engine. In November 2016, we updated the information of the webpages in terms of country, language, types of health-related tests, additional offer of non-health-related DTC test, information about sensitivity and specificity, certification and accreditation, costs as well as reference to German Act on Genetic Testing. Thirty-five webpages were included in the final overview. A plurality of different predictive analysis options was identified. Price information was not available for all offered genetic analyses. Costs for predictive analysis in one disease vary between EUR 90 and 990, for predictive package analysis between EUR 232.18 and 375, and for genetic lifestyle analysis between EUR 84.55 and 570.20. Genetic results may lead to uncertainty and anxiety; therefore, subsequent costs for a solidarily financed system may arise. Genetic DTC tests may have an influence on different players on the micro-, meso- and macro-levels, which may have a cost-cutting or cost-increasing effect on health-care expenditures. The increased interest in genetic analysis as well as the possibility of worldwide internet-based access to genetic tests requires population-wide education.

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X Demographics

The data shown below were collected from the profiles of 3 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 19%
Student > Bachelor 4 13%
Student > Master 4 13%
Student > Ph. D. Student 4 13%
Lecturer 2 6%
Other 4 13%
Unknown 8 25%
Readers by discipline Count As %
Medicine and Dentistry 6 19%
Biochemistry, Genetics and Molecular Biology 3 9%
Agricultural and Biological Sciences 3 9%
Nursing and Health Professions 2 6%
Business, Management and Accounting 2 6%
Other 8 25%
Unknown 8 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 13 June 2018.
All research outputs
#15,292,170
of 24,715,720 outputs
Outputs from Public Health Genomics
#284
of 401 outputs
Outputs of similar age
#175,815
of 321,177 outputs
Outputs of similar age from Public Health Genomics
#7
of 7 outputs
Altmetric has tracked 24,715,720 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 401 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
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 321,177 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.