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A 26-hour system of highly sensitive whole genome sequencing for emergency management of genetic diseases

Overview of attention for article published in Genome Medicine, September 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#4 of 1,612)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
74 news outlets
blogs
5 blogs
twitter
165 X users
patent
8 patents
facebook
1 Facebook page
googleplus
1 Google+ user
reddit
1 Redditor

Citations

dimensions_citation
264 Dimensions

Readers on

mendeley
240 Mendeley
citeulike
1 CiteULike
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Title
A 26-hour system of highly sensitive whole genome sequencing for emergency management of genetic diseases
Published in
Genome Medicine, September 2015
DOI 10.1186/s13073-015-0221-8
Pubmed ID
Authors

Neil A. Miller, Emily G. Farrow, Margaret Gibson, Laurel K. Willig, Greyson Twist, Byunggil Yoo, Tyler Marrs, Shane Corder, Lisa Krivohlavek, Adam Walter, Josh E. Petrikin, Carol J. Saunders, Isabelle Thiffault, Sarah E. Soden, Laurie D. Smith, Darrell L. Dinwiddie, Suzanne Herd, Julie A. Cakici, Severine Catreux, Mike Ruehle, Stephen F. Kingsmore

Abstract

While the cost of whole genome sequencing (WGS) is approaching the realm of routine medical tests, it remains too tardy to help guide the management of many acute medical conditions. Rapid WGS is imperative in light of growing evidence of its utility in acute care, such as in diagnosis of genetic diseases in very ill infants, and genotype-guided choice of chemotherapy at cancer relapse. In such situations, delayed, empiric, or phenotype-based clinical decisions may meet with substantial morbidity or mortality. We previously described a rapid WGS method, STATseq, with a sensitivity of >96 % for nucleotide variants that allowed a provisional diagnosis of a genetic disease in 50 h. Here improvements in sequencing run time, read alignment, and variant calling are described that enable 26-h time to provisional molecular diagnosis with >99.5 % sensitivity and specificity of genotypes. STATseq appears to be an appropriate strategy for acutely ill patients with potentially actionable genetic diseases.

X Demographics

X Demographics

The data shown below were collected from the profiles of 165 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 240 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
United Kingdom 4 2%
Netherlands 1 <1%
Italy 1 <1%
Japan 1 <1%
Luxembourg 1 <1%
Unknown 227 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 54 23%
Student > Ph. D. Student 51 21%
Student > Master 25 10%
Other 24 10%
Student > Bachelor 17 7%
Other 30 13%
Unknown 39 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 65 27%
Agricultural and Biological Sciences 51 21%
Medicine and Dentistry 27 11%
Computer Science 19 8%
Engineering 9 4%
Other 21 9%
Unknown 48 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 713. 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 February 2024.
All research outputs
#29,220
of 25,756,911 outputs
Outputs from Genome Medicine
#4
of 1,612 outputs
Outputs of similar age
#261
of 287,263 outputs
Outputs of similar age from Genome Medicine
#1
of 27 outputs
Altmetric has tracked 25,756,911 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 1,612 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.0. 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 287,263 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 99% of its contemporaries.
We're also able to compare this research output to 27 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 96% of its contemporaries.