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Guidelines for Validation of Next-Generation Sequencing–Based Oncology Panels

Overview of attention for article published in The Journal of Molecular Diagnostics, May 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#11 of 1,035)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
10 news outlets
twitter
116 tweeters
patent
3 patents
facebook
7 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
275 Dimensions

Readers on

mendeley
611 Mendeley
Title
Guidelines for Validation of Next-Generation Sequencing–Based Oncology Panels
Published in
The Journal of Molecular Diagnostics, May 2017
DOI 10.1016/j.jmoldx.2017.01.011
Pubmed ID
Authors

Lawrence J. Jennings, Maria E. Arcila, Christopher Corless, Suzanne Kamel-Reid, Ira M. Lubin, John Pfeifer, Robyn L. Temple-Smolkin, Karl V. Voelkerding, Marina N. Nikiforova

Abstract

Next-generation sequencing (NGS) methods for cancer testing have been rapidly adopted by clinical laboratories. To establish analytical validation best practice guidelines for NGS gene panel testing of somatic variants, a working group was convened by the Association of Molecular Pathology with liaison representation from the College of American Pathologists. These joint consensus recommendations address NGS test development, optimization, and validation, including recommendations on panel content selection and rationale for optimization and familiarization phase conducted before test validation; utilization of reference cell lines and reference materials for evaluation of assay performance; determining of positive percentage agreement and positive predictive value for each variant type; and requirements for minimal depth of coverage and minimum number of samples that should be used to establish test performance characteristics. The recommendations emphasize the role of laboratory director in using an error-based approach that identifies potential sources of errors that may occur throughout the analytical process and addressing these potential errors through test design, method validation, or quality controls so that no harm comes to the patient. The recommendations contained herein are intended to assist clinical laboratories with the validation and ongoing monitoring of NGS testing for detection of somatic variants and to ensure high quality of sequencing results.

Twitter Demographics

The data shown below were collected from the profiles of 116 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 611 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
Ireland 1 <1%
France 1 <1%
Brazil 1 <1%
Unknown 607 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 175 29%
Other 83 14%
Student > Ph. D. Student 82 13%
Student > Master 60 10%
Student > Bachelor 41 7%
Other 63 10%
Unknown 107 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 216 35%
Agricultural and Biological Sciences 116 19%
Medicine and Dentistry 86 14%
Computer Science 12 2%
Immunology and Microbiology 12 2%
Other 50 8%
Unknown 119 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 154. 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 04 February 2021.
All research outputs
#149,812
of 17,625,695 outputs
Outputs from The Journal of Molecular Diagnostics
#11
of 1,035 outputs
Outputs of similar age
#4,736
of 273,824 outputs
Outputs of similar age from The Journal of Molecular Diagnostics
#2
of 19 outputs
Altmetric has tracked 17,625,695 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,035 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.5. This one has done particularly well, scoring higher than 99% 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 273,824 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 98% of its contemporaries.
We're also able to compare this research output to 19 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 94% of its contemporaries.