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A curated gene list for reporting results of newborn genomic sequencing

Overview of attention for article published in Genetics in Medicine, January 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
12 news outlets
blogs
1 blog
policy
1 policy source
twitter
88 X users
facebook
2 Facebook pages

Readers on

mendeley
136 Mendeley
citeulike
2 CiteULike
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Article details
Title
A curated gene list for reporting results of newborn genomic sequencing
Published in
Genetics in Medicine, January 2017
DOI 10.1038/gim.2016.193
Pubmed ID
Authors
Abstract

Genomic sequencing (GS) for newborns may enable detection of conditions for which early knowledge can improve health outcomes. One of the major challenges hindering its broader application is the time it takes to assess the clinical relevance of detected variants and the genes they impact so that disease risk is reported appropriately. To facilitate rapid interpretation of GS results in newborns, we curated a catalog of genes with putative pediatric relevance for their validity based on the ClinGen clinical validity classification framework criteria, age of onset, penetrance, and mode of inheritance through systematic evaluation of published evidence. Based on these attributes, we classified genes to guide the return of results in the BabySeq Project, a randomized, controlled trial exploring the use of newborn GS (nGS), and used our curated list for the first 15 newborns sequenced in this project. Here, we present our curated list for 1,514 gene-disease associations. Overall, 954 genes met our criteria for return in nGS. This reference list eliminated manual assessment for 41% of rare variants identified in 15 newborns. Our list provides a resource that can assist in guiding the interpretive scope of clinical GS for newborns and potentially other populations.Genet Med advance online publication 12 January 2017Genetics in Medicine (2017); doi:10.1038/gim.2016.193.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 88 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 1 <1%
Argentina 1 <1%
Unknown 134 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 25 18%
Other 20 15%
Student > Ph. D. Student 12 9%
Student > Master 11 8%
Student > Doctoral Student 5 4%
Other 20 15%
Unknown 43 32%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 33 24%
Medicine and Dentistry 27 20%
Agricultural and Biological Sciences 15 11%
Pharmacology, Toxicology and Pharmaceutical Science 2 1%
Nursing and Health Professions 2 1%
Other 9 7%
Unknown 48 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 138. 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 07 December 2019.
All research outputs
#381,407
of 34,592,533 outputs
Outputs from Genetics in Medicine
#54
of 3,406 outputs
Outputs of similar age
#6,303
of 468,015 outputs
Outputs of similar age from Genetics in Medicine
#3
of 41 outputs
Altmetric has tracked 34,592,533 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,406 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.6. 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 468,015 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 41 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 92% of its contemporaries.