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A standardized, evidence-based protocol to assess clinical actionability of genetic disorders associated with genomic variation

Overview of attention for article published in Genetics in Medicine, April 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

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2 news outlets
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43 X users
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8 Facebook pages

Citations

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91 Dimensions

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107 Mendeley
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Title
A standardized, evidence-based protocol to assess clinical actionability of genetic disorders associated with genomic variation
Published in
Genetics in Medicine, April 2016
DOI 10.1038/gim.2016.40
Pubmed ID
Authors

Jessica Ezzell Hunter, Stephanie A. Irving, Leslie G. Biesecker, Adam Buchanan, Brian Jensen, Kristy Lee, Christa Lese Martin, Laura Milko, Kristin Muessig, Annie D. Niehaus, Julianne O’Daniel, Margaret A. Piper, Erin M. Ramos, Sheri D. Schully, Alan F. Scott, Anne Slavotinek, Nara Sobreira, Natasha Strande, Meredith Weaver, Elizabeth M. Webber, Marc S. Williams, Jonathan S. Berg, James P. Evans, Katrina A.B. Goddard

Abstract

Genome and exome sequencing can identify variants unrelated to the primary goal of sequencing. Detecting pathogenic variants associated with an increased risk of a medical disorder enables clinical interventions to improve future health outcomes in patients and their at-risk relatives. The Clinical Genome Resource, or ClinGen, aims to assess clinical actionability of genes and associated disorders as part of a larger effort to build a central resource of information regarding the clinical relevance of genomic variation for use in precision medicine and research. We developed a practical, standardized protocol to identify available evidence and generate qualitative summary reports of actionability for disorders and associated genes. We applied a semiquantitative metric to score actionability. We generated summary reports and actionability scores for the 56 genes and associated disorders recommended by the American College of Medical Genetics and Genomics for return as secondary findings from clinical genome-scale sequencing. We also describe the challenges that arose during the development of the protocol that highlight important issues in characterizing actionability across a range of disorders. The ClinGen framework for actionability assessment will assist research and clinical communities in making clear, efficient, and consistent determinations of actionability based on transparent criteria to guide analysis and reporting of findings from clinical genome-scale sequencing.Genet Med advance online publication 28 April 2016Genetics in Medicine (2016); doi:10.1038/gim.2016.40.

X Demographics

X Demographics

The data shown below were collected from the profiles of 43 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 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Canada 1 <1%
Unknown 105 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 22%
Other 16 15%
Student > Ph. D. Student 12 11%
Student > Master 10 9%
Student > Bachelor 8 7%
Other 19 18%
Unknown 18 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 35 33%
Medicine and Dentistry 17 16%
Agricultural and Biological Sciences 15 14%
Computer Science 5 5%
Nursing and Health Professions 2 2%
Other 12 11%
Unknown 21 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 40. 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 01 November 2018.
All research outputs
#1,033,295
of 25,373,627 outputs
Outputs from Genetics in Medicine
#307
of 2,943 outputs
Outputs of similar age
#17,809
of 312,663 outputs
Outputs of similar age from Genetics in Medicine
#4
of 47 outputs
Altmetric has tracked 25,373,627 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 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 312,663 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 94% of its contemporaries.
We're also able to compare this research output to 47 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 91% of its contemporaries.