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Epistemology, Ethics, and Progress in Precision Medicine

Overview of attention for article published in Perspectives in Biology & Medicine, January 2016
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Title
Epistemology, Ethics, and Progress in Precision Medicine
Published in
Perspectives in Biology & Medicine, January 2016
DOI 10.1353/pbm.2016.0026
Pubmed ID
Authors

Spencer Phillips Hey, Brianna Barsanti-Innes

Abstract

The emerging paradigm of precision medicine strives to leverage the tools of molecular biology to prospectively tailor treatments to the individual patient. Fundamental to the success of this movement is the discovery and validation of "predictive biomarkers," which are properties of a patient's biological specimens that can be assayed in advance of therapy to inform the treatment decision. Unfortunately, research into biomarkers and diagnostics for precision medicine has fallen well short of expectations. In this essay, we examine the portfolio of research activities into the excision repair cross complement group 1 (ERCC1) gene as a predictive biomarker for precision lung cancer therapy as a case study in elucidating the epistemological and ethical obstacles to developing new precision medicines.

X Demographics

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The data shown below were collected from the profile of 1 X user 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 32%
Student > Ph. D. Student 2 11%
Student > Bachelor 1 5%
Student > Master 1 5%
Unknown 9 47%
Readers by discipline Count As %
Philosophy 2 11%
Arts and Humanities 2 11%
Medicine and Dentistry 2 11%
Social Sciences 1 5%
Computer Science 1 5%
Other 2 11%
Unknown 9 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 21 December 2017.
All research outputs
#20,660,571
of 25,382,440 outputs
Outputs from Perspectives in Biology & Medicine
#661
of 780 outputs
Outputs of similar age
#295,057
of 399,718 outputs
Outputs of similar age from Perspectives in Biology & Medicine
#20
of 31 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 780 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one is in the 5th percentile – i.e., 5% 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 399,718 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.