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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 (66th percentile)

Mentioned by

7 tweeters


107 Dimensions

Readers on

210 Mendeley
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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

Upasana Tayal, Sanjay Prasad, Stuart A. Cook


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 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 210 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 210 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 40 19%
Student > Ph. D. Student 26 12%
Student > Master 21 10%
Other 15 7%
Student > Bachelor 14 7%
Other 45 21%
Unknown 49 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 55 26%
Medicine and Dentistry 55 26%
Agricultural and Biological Sciences 16 8%
Nursing and Health Professions 5 2%
Pharmacology, Toxicology and Pharmaceutical Science 4 2%
Other 12 6%
Unknown 63 30%

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
of 22,955,959 outputs
Outputs from Genome Medicine
of 1,444 outputs
Outputs of similar age
of 311,194 outputs
Outputs of similar age from Genome Medicine
of 32 outputs
Altmetric has tracked 22,955,959 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,444 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.8. This one is in the 26th percentile – i.e., 26% 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 311,194 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 66% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.