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ACMG clinical laboratory standards for next-generation sequencing

Overview of attention for article published in Genetics in Medicine, July 2013
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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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
1 news outlet
policy
2 policy sources
twitter
42 X users
patent
6 patents

Citations

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804 Dimensions

Readers on

mendeley
1051 Mendeley
citeulike
1 CiteULike
Title
ACMG clinical laboratory standards for next-generation sequencing
Published in
Genetics in Medicine, July 2013
DOI 10.1038/gim.2013.92
Pubmed ID
Authors

Heidi L. Rehm, Sherri J. Bale, Pinar Bayrak-Toydemir, Jonathan S. Berg, Kerry K. Brown, Joshua L. Deignan, Michael J. Friez, Birgit H. Funke, Madhuri R. Hegde, Elaine Lyon

Abstract

Next-generation sequencing technologies have been and continue to be deployed in clinical laboratories, enabling rapid transformations in genomic medicine. These technologies have reduced the cost of large-scale sequencing by several orders of magnitude, and continuous advances are being made. It is now feasible to analyze an individual's near-complete exome or genome to assist in the diagnosis of a wide array of clinical scenarios. Next-generation sequencing technologies are also facilitating further advances in therapeutic decision making and disease prediction for at-risk patients. However, with rapid advances come additional challenges involving the clinical validation and use of these constantly evolving technologies and platforms in clinical laboratories. To assist clinical laboratories with the validation of next-generation sequencing methods and platforms, the ongoing monitoring of next-generation sequencing testing to ensure quality results, and the interpretation and reporting of variants found using these technologies, the American College of Medical Genetics and Genomics has developed the following professional standards and guidelines.

X Demographics

X Demographics

The data shown below were collected from the profiles of 42 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 1,051 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 13 1%
United Kingdom 8 <1%
Brazil 4 <1%
Spain 3 <1%
South Africa 3 <1%
Italy 3 <1%
Germany 2 <1%
Canada 2 <1%
France 1 <1%
Other 11 1%
Unknown 1001 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 228 22%
Student > Ph. D. Student 153 15%
Other 131 12%
Student > Master 115 11%
Student > Bachelor 74 7%
Other 167 16%
Unknown 183 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 272 26%
Agricultural and Biological Sciences 268 25%
Medicine and Dentistry 176 17%
Computer Science 23 2%
Immunology and Microbiology 22 2%
Other 80 8%
Unknown 210 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 49. 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 15 June 2023.
All research outputs
#876,142
of 26,017,215 outputs
Outputs from Genetics in Medicine
#247
of 2,978 outputs
Outputs of similar age
#7,001
of 214,054 outputs
Outputs of similar age from Genetics in Medicine
#4
of 33 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,978 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.2. This one has done particularly well, scoring higher than 91% 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 214,054 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 96% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.