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Classification of Genes: Standardized Clinical Validity Assessment of Gene–Disease Associations Aids Diagnostic Exome Analysis and Reclassifications

Overview of attention for article published in Human Mutation, February 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
1 news outlet
twitter
4 X users
patent
1 patent
facebook
2 Facebook pages
video
1 YouTube creator

Citations

dimensions_citation
80 Dimensions

Readers on

mendeley
96 Mendeley
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1 CiteULike
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Title
Classification of Genes: Standardized Clinical Validity Assessment of Gene–Disease Associations Aids Diagnostic Exome Analysis and Reclassifications
Published in
Human Mutation, February 2017
DOI 10.1002/humu.23183
Pubmed ID
Authors

Erica D. Smith, Kelly Radtke, Mari Rossi, Deepali N. Shinde, Sourat Darabi, Dima El‐Khechen, Zöe Powis, Katherine Helbig, Kendra Waller, Dorothy K. Grange, Sha Tang, Kelly D. Farwell Hagman

Abstract

Ascertaining a diagnosis through exome sequencing can provide potential benefits to patients, insurance companies, and the healthcare system. Yet as diagnostic sequencing is increasingly employed, vast amounts of human genetic data are produced that need careful curation. We discuss methods for accurately assessing the clinical validity of gene-disease relationships to interpret new research findings in a clinical context and increase the diagnostic rate. The specifics of a gene-disease scoring system adapted for use in a clinical laboratory are described. In turn, clinical validity scoring of gene-disease relationships can inform exome reporting for identification of new or upgrading of previous, clinically relevant gene findings. Our retrospective analysis of all reclassification reports from the first four years of diagnostic exome sequencing showed that 78% were due to new gene disease discoveries published in the literature. Among all exome positive/likely positive findings in characterized genes, 32% were in genetic etiologies that were discovered after 2010. Our data underscore the importance and benefits of active and up-to-date curation of the gene-disease database combined with critical clinical validity scoring and proactive reanalysis in the clinical genomics era. This article is protected by copyright. All rights reserved.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 96 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 20%
Student > Ph. D. Student 15 16%
Other 13 14%
Student > Doctoral Student 7 7%
Student > Master 6 6%
Other 11 11%
Unknown 25 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 35 36%
Medicine and Dentistry 14 15%
Agricultural and Biological Sciences 7 7%
Neuroscience 3 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Other 5 5%
Unknown 31 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 19 May 2022.
All research outputs
#2,389,348
of 25,377,790 outputs
Outputs from Human Mutation
#122
of 2,982 outputs
Outputs of similar age
#49,506
of 431,904 outputs
Outputs of similar age from Human Mutation
#1
of 40 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,982 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 95% 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 431,904 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 40 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 97% of its contemporaries.