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Genetics and genomics of dilated cardiomyopathy and systolic heart failure

Overview of attention for article published in Genome Medicine, February 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)

Mentioned by

twitter
8 tweeters

Citations

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78 Dimensions

Readers on

mendeley
179 Mendeley
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Title
Genetics and genomics of dilated cardiomyopathy and systolic heart failure
Published in
Genome Medicine, February 2017
DOI 10.1186/s13073-017-0410-8
Pubmed ID
Authors

Upasana Tayal, Sanjay Prasad, Stuart A. Cook

Abstract

Heart failure is a major health burden, affecting 40 million people globally. One of the main causes of systolic heart failure is dilated cardiomyopathy (DCM), the leading global indication for heart transplantation. Our understanding of the genetic basis of both DCM and systolic heart failure has improved in recent years with the application of next-generation sequencing and genome-wide association studies (GWAS). This has enabled rapid sequencing at scale, leading to the discovery of many novel rare variants in DCM and of common variants in both systolic heart failure and DCM. Identifying rare and common genetic variants contributing to systolic heart failure has been challenging given its diverse and multiple etiologies. DCM, however, although rarer, is a reasonably specific and well-defined condition, leading to the identification of many rare genetic variants. Truncating variants in titin represent the single largest genetic cause of DCM. Here, we review the progress and challenges in the detection of rare and common variants in DCM and systolic heart failure, and the particular challenges in accurate and informed variant interpretation, and in understanding the effects of these variants. We also discuss how our increasing genetic knowledge is changing clinical management. Harnessing genetic data and translating it to improve risk stratification and the development of novel therapeutics represents a major challenge and unmet critical need for patients with heart failure and their families.

Twitter Demographics

The data shown below were collected from the profiles of 8 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 179 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 179 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 37 21%
Student > Ph. D. Student 24 13%
Student > Master 18 10%
Other 15 8%
Student > Bachelor 15 8%
Other 38 21%
Unknown 32 18%
Readers by discipline Count As %
Medicine and Dentistry 50 28%
Biochemistry, Genetics and Molecular Biology 49 27%
Agricultural and Biological Sciences 17 9%
Pharmacology, Toxicology and Pharmaceutical Science 4 2%
Nursing and Health Professions 4 2%
Other 9 5%
Unknown 46 26%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 20 March 2017.
All research outputs
#5,174,526
of 19,515,384 outputs
Outputs from Genome Medicine
#888
of 1,289 outputs
Outputs of similar age
#86,236
of 273,483 outputs
Outputs of similar age from Genome Medicine
#4
of 4 outputs
Altmetric has tracked 19,515,384 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,289 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.6. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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 273,483 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.