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A comprehensive laboratory‐based program for classification of variants of uncertain significance in hereditary cancer genes

Overview of attention for article published in Clinical Genetics, December 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#45 of 2,383)
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
1 X user
facebook
2 Facebook pages
wikipedia
1 Wikipedia page

Citations

dimensions_citation
165 Dimensions

Readers on

mendeley
148 Mendeley
Title
A comprehensive laboratory‐based program for classification of variants of uncertain significance in hereditary cancer genes
Published in
Clinical Genetics, December 2013
DOI 10.1111/cge.12315
Pubmed ID
Authors

J.M. Eggington, K.R. Bowles, K. Moyes, S. Manley, L. Esterling, S. Sizemore, E. Rosenthal, A. Theisen, J. Saam, C. Arnell, D. Pruss, J. Bennett, L.A. Burbidge, B. Roa, R.J. Wenstrup

Abstract

Genetic testing has the potential to guide the prevention and treatment of disease in a variety of settings, and recent technical advances have greatly increased our ability to acquire large amounts of genetic data. The interpretation of this data remains challenging, as the clinical significance of genetic variation detected in the laboratory is not always clear. Although regulatory agencies and professional societies provide some guidance regarding the classification, reporting, and long-term follow-up of variants, few protocols for the implementation of these guidelines have been described. Because the primary aim of clinical testing is to provide results to inform medical management, a variant classification program that offers timely, accurate, confident and cost-effective interpretation of variants should be an integral component of the laboratory process. Here we describe the components of our laboratory's current variant classification program (VCP), based on 20 years of experience and over one million samples tested, using the BRCA1/2 genes as a model. Our VCP has lowered the percentage of tests in which one or more BRCA1/2 variants of uncertain significance (VUSs) are detected to 2.1% in the absence of a pathogenic mutation, demonstrating how the coordinated application of resources toward classification and reclassification significantly impacts the clinical utility of testing.

X Demographics

X Demographics

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 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Netherlands 1 <1%
Brazil 1 <1%
Korea, Republic of 1 <1%
Canada 1 <1%
United Kingdom 1 <1%
Unknown 141 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 20%
Student > Ph. D. Student 20 14%
Other 19 13%
Student > Master 17 11%
Student > Bachelor 16 11%
Other 28 19%
Unknown 19 13%
Readers by discipline Count As %
Medicine and Dentistry 40 27%
Agricultural and Biological Sciences 36 24%
Biochemistry, Genetics and Molecular Biology 32 22%
Computer Science 2 1%
Immunology and Microbiology 2 1%
Other 10 7%
Unknown 26 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 26 November 2016.
All research outputs
#1,692,485
of 22,741,406 outputs
Outputs from Clinical Genetics
#45
of 2,383 outputs
Outputs of similar age
#20,740
of 306,080 outputs
Outputs of similar age from Clinical Genetics
#2
of 8 outputs
Altmetric has tracked 22,741,406 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,383 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 98% 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 306,080 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 93% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.