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Technical standards for the interpretation and reporting of constitutional copy-number variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics (ACMG) and…

Overview of attention for article published in Genetics in Medicine, November 2019
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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 (97th percentile)

Mentioned by

news
5 news outlets
twitter
140 X users
facebook
5 Facebook pages
wikipedia
1 Wikipedia page

Citations

dimensions_citation
1023 Dimensions

Readers on

mendeley
616 Mendeley
Title
Technical standards for the interpretation and reporting of constitutional copy-number variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics (ACMG) and the Clinical Genome Resource (ClinGen)
Published in
Genetics in Medicine, November 2019
DOI 10.1038/s41436-019-0686-8
Pubmed ID
Authors

Erin Rooney Riggs, Erica F. Andersen, Athena M. Cherry, Sibel Kantarci, Hutton Kearney, Ankita Patel, Gordana Raca, Deborah I. Ritter, Sarah T. South, Erik C. Thorland, Daniel Pineda-Alvarez, Swaroop Aradhya, Christa Lese Martin

X Demographics

X Demographics

The data shown below were collected from the profiles of 140 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 616 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 616 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 105 17%
Student > Master 66 11%
Student > Ph. D. Student 65 11%
Other 55 9%
Student > Bachelor 38 6%
Other 84 14%
Unknown 203 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 192 31%
Medicine and Dentistry 96 16%
Agricultural and Biological Sciences 51 8%
Computer Science 10 2%
Nursing and Health Professions 9 1%
Other 35 6%
Unknown 223 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 134. 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 12 March 2024.
All research outputs
#319,820
of 25,928,676 outputs
Outputs from Genetics in Medicine
#51
of 2,967 outputs
Outputs of similar age
#7,107
of 383,960 outputs
Outputs of similar age from Genetics in Medicine
#1
of 49 outputs
Altmetric has tracked 25,928,676 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 2,967 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.1. 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 383,960 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 49 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.