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A Quantitative Assessment of Factors Affecting the Technological Development and Adoption of Companion Diagnostics

Overview of attention for article published in Frontiers in Genetics, January 2016
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Title
A Quantitative Assessment of Factors Affecting the Technological Development and Adoption of Companion Diagnostics
Published in
Frontiers in Genetics, January 2016
DOI 10.3389/fgene.2015.00357
Pubmed ID
Authors

Dee Luo, James A. Smith, Nick A. Meadows, A. Schuh, Katie E. Manescu, Kim Bure, Benjamin Davies, Rob Horne, Mike Kope, David L. DiGiusto, David A. Brindley

Abstract

Rapid innovation in (epi)genetics and biomarker sciences is driving a new drug development and product development pathway, with the personalized medicine era dominated by biologic therapeutics and companion diagnostics. Companion diagnostics (CDx) are tests and assays that detect biomarkers and specific mutations to elucidate disease pathways, stratify patient populations, and target drug therapies. CDx can substantially influence the development and regulatory approval for certain high-risk biologics. However, despite the increasingly important role of companion diagnostics in the realization of personalized medicine, in the USA, there are only 23 Food and Drug Administration (FDA) approved companion diagnostics on the market for 11 unique indications. Personalized medicines have great potential, yet their use is currently constrained. A major factor for this may lie in the increased complexity of the companion diagnostic and corresponding therapeutic development and adoption pathways. Understanding the market dynamics of companion diagnostic/therapeutic (CDx/Rx) pairs is important to further development and adoption of personalized medicine. Therefore, data collected on a variety of factors may highlight incentives or disincentives driving the development of companion diagnostics. Statistical analysis for 36 hypotheses resulted in two significant relationships and 34 non-significant relationships. The sensitivity of the companion diagnostic was the only factor that significantly correlated with the price of the companion diagnostic. This result indicates that while there is regulatory pressure for the diagnostic and pharmaceutical industry to collaborate and co-develop companion diagnostics for the approval of personalized therapeutics, there seems to be a lack of parallel economic collaboration to incentivize development of companion diagnostics.

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The data shown below were collected from the profiles of 2 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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 23%
Student > Master 10 16%
Other 7 11%
Student > Bachelor 5 8%
Professor 5 8%
Other 11 18%
Unknown 10 16%
Readers by discipline Count As %
Medicine and Dentistry 12 19%
Biochemistry, Genetics and Molecular Biology 8 13%
Economics, Econometrics and Finance 7 11%
Agricultural and Biological Sciences 4 6%
Social Sciences 4 6%
Other 13 21%
Unknown 14 23%
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 18 February 2016.
All research outputs
#14,246,461
of 22,842,950 outputs
Outputs from Frontiers in Genetics
#3,928
of 11,836 outputs
Outputs of similar age
#207,872
of 396,721 outputs
Outputs of similar age from Frontiers in Genetics
#33
of 54 outputs
Altmetric has tracked 22,842,950 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,836 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 62% 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 396,721 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.