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Genetic evaluation of cardiomyopathy: a clinical practice resource of the American College of Medical Genetics and Genomics (ACMG)

Overview of attention for article published in Genetics in Medicine, June 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Average Attention Score compared to outputs of the same age and source

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11 X users
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1 patent

Citations

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181 Dimensions

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213 Mendeley
Title
Genetic evaluation of cardiomyopathy: a clinical practice resource of the American College of Medical Genetics and Genomics (ACMG)
Published in
Genetics in Medicine, June 2018
DOI 10.1038/s41436-018-0039-z
Pubmed ID
Authors

Ray E. Hershberger, Michael M. Givertz, Carolyn Y Ho, Daniel P. Judge, Paul F. Kantor, Kim L. McBride, Ana Morales, Matthew R. G. Taylor, Matteo Vatta, Stephanie M. Ware

Abstract

The purpose of this document is to provide updated guidance for the genetic evaluation of cardiomyopathy and for an approach to manage secondary findings from cardiomyopathy genes. The genetic bases of the primary cardiomyopathies (dilated, hypertrophic, arrhythmogenic right ventricular, and restrictive) have been established, and each is medically actionable; in most cases established treatments or interventions are available to improve survival, reduce morbidity, and enhance quality of life. A writing group of cardiologists and genetics professionals updated guidance, first published in 2009 for the Heart Failure Society of America (HFSA), in a collaboration with the American College of Medical Genetics and Genomics (ACMG). Each recommendation was assigned to teams of individuals by expertise, literature was reviewed, and recommendations were decided by consensus of the writing group. Recommendations for family history, phenotype screening of at-risk family members, referral to expert centers as needed, genetic counseling, and cardiovascular therapies, informed in part by phenotype, are presented in the HFSA document. A genetic evaluation of cardiomyopathy is indicated with a cardiomyopathy diagnosis, which includes genetic testing. Guidance is also provided for clinical approaches to secondary findings from cardiomyopathy genes. This is relevant as cardiomyopathy is the phenotype associated with 27% of the genes on the ACMG list for return of secondary findings. Recommendations herein are considered expert opinion per current ACMG policy as no systematic approach to literature review was conducted. Genetic testing is indicated for cardiomyopathy to assist in patient care and management of at-risk family members.

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X Demographics

The data shown below were collected from the profiles of 11 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 213 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 213 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 31 15%
Student > Ph. D. Student 24 11%
Student > Bachelor 21 10%
Student > Master 15 7%
Other 14 7%
Other 35 16%
Unknown 73 34%
Readers by discipline Count As %
Medicine and Dentistry 63 30%
Biochemistry, Genetics and Molecular Biology 41 19%
Agricultural and Biological Sciences 5 2%
Engineering 4 2%
Business, Management and Accounting 3 1%
Other 13 6%
Unknown 84 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 17 October 2022.
All research outputs
#3,617,928
of 25,382,440 outputs
Outputs from Genetics in Medicine
#1,167
of 2,945 outputs
Outputs of similar age
#69,034
of 341,958 outputs
Outputs of similar age from Genetics in Medicine
#48
of 82 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,945 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.0. This one has gotten more attention than average, scoring higher than 60% 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 341,958 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.