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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, February 2020
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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 (#37 of 2,509)
  • 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
155 tweeters
facebook
5 Facebook pages
wikipedia
1 Wikipedia page

Citations

dimensions_citation
255 Dimensions

Readers on

mendeley
349 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, February 2020
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

Twitter Demographics

The data shown below were collected from the profiles of 155 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 349 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 349 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 72 21%
Student > Master 47 13%
Student > Ph. D. Student 39 11%
Other 39 11%
Student > Doctoral Student 19 5%
Other 59 17%
Unknown 74 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 129 37%
Medicine and Dentistry 62 18%
Agricultural and Biological Sciences 36 10%
Computer Science 8 2%
Nursing and Health Professions 5 1%
Other 18 5%
Unknown 91 26%

Attention Score in Context

This research output has an Altmetric Attention Score of 142. 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 23 September 2021.
All research outputs
#189,952
of 19,542,586 outputs
Outputs from Genetics in Medicine
#37
of 2,509 outputs
Outputs of similar age
#5,810
of 344,651 outputs
Outputs of similar age from Genetics in Medicine
#3
of 87 outputs
Altmetric has tracked 19,542,586 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 2,509 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.4. 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 344,651 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 87 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.