↓ Skip to main content

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
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
7 tweeters
patent
1 patent

Citations

dimensions_citation
64 Dimensions

Readers on

mendeley
119 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.

Twitter Demographics

The data shown below were collected from the profiles of 7 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 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 119 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 18%
Student > Ph. D. Student 12 10%
Other 10 8%
Student > Bachelor 10 8%
Student > Master 9 8%
Other 24 20%
Unknown 33 28%
Readers by discipline Count As %
Medicine and Dentistry 40 34%
Biochemistry, Genetics and Molecular Biology 23 19%
Agricultural and Biological Sciences 5 4%
Business, Management and Accounting 2 2%
Engineering 2 2%
Other 9 8%
Unknown 38 32%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 14 May 2020.
All research outputs
#2,920,033
of 16,822,220 outputs
Outputs from Genetics in Medicine
#1,025
of 2,275 outputs
Outputs of similar age
#69,633
of 284,152 outputs
Outputs of similar age from Genetics in Medicine
#22
of 40 outputs
Altmetric has tracked 16,822,220 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,275 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.3. This one has gotten more attention than average, scoring higher than 54% 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 284,152 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 75% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.