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The diagnosis of hypertrophic cardiomyopathy by cardiovascular magnetic resonance

Overview of attention for article published in Journal of Cardiovascular Magnetic Resonance (Taylor & Francis Ltd), February 2012
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (58th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

twitter
2 tweeters

Citations

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123 Dimensions

Readers on

mendeley
267 Mendeley
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2 CiteULike
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Title
The diagnosis of hypertrophic cardiomyopathy by cardiovascular magnetic resonance
Published in
Journal of Cardiovascular Magnetic Resonance (Taylor & Francis Ltd), February 2012
DOI 10.1186/1532-429x-14-17
Pubmed ID
Authors

Radwa A Noureldin, Songtao Liu, Marcelo S Nacif, Daniel P Judge, Marc K Halushka, Theodore P Abraham, Carolyn Ho, David A Bluemke

Abstract

Hypertrophic cardiomyopathy (HCM) is the most common genetic disease of the heart. HCM is characterized by a wide range of clinical expression, ranging from asymptomatic mutation carriers to sudden cardiac death as the first manifestation of the disease. Over 1000 mutations have been identified, classically in genes encoding sarcomeric proteins. Noninvasive imaging is central to the diagnosis of HCM and cardiovascular magnetic resonance (CMR) is increasingly used to characterize morphologic, functional and tissue abnormalities associated with HCM. The purpose of this review is to provide an overview of the clinical, pathological and imaging features relevant to understanding the diagnosis of HCM. The early and overt phenotypic expression of disease that may be identified by CMR is reviewed. Diastolic dysfunction may be an early marker of the disease, present in mutation carriers prior to the development of left ventricular hypertrophy (LVH). Late gadolinium enhancement by CMR is present in approximately 60% of HCM patients with LVH and may provide novel information regarding risk stratification in HCM. It is likely that integrating genetic advances with enhanced phenotypic characterization of HCM with novel CMR techniques will importantly improve our understanding of this complex disease.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 267 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
United Kingdom 2 <1%
Italy 2 <1%
Spain 1 <1%
France 1 <1%
Japan 1 <1%
Germany 1 <1%
Unknown 256 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 51 19%
Student > Ph. D. Student 35 13%
Other 30 11%
Student > Bachelor 22 8%
Student > Postgraduate 19 7%
Other 69 26%
Unknown 41 15%
Readers by discipline Count As %
Medicine and Dentistry 170 64%
Engineering 13 5%
Agricultural and Biological Sciences 7 3%
Computer Science 3 1%
Biochemistry, Genetics and Molecular Biology 2 <1%
Other 14 5%
Unknown 58 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 09 February 2014.
All research outputs
#1,987,594
of 4,507,509 outputs
Outputs from Journal of Cardiovascular Magnetic Resonance (Taylor & Francis Ltd)
#175
of 383 outputs
Outputs of similar age
#47,944
of 122,885 outputs
Outputs of similar age from Journal of Cardiovascular Magnetic Resonance (Taylor & Francis Ltd)
#12
of 31 outputs
Altmetric has tracked 4,507,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 53rd percentile.
So far Altmetric has tracked 383 research outputs from this source. They receive a mean Attention Score of 2.3. This one has gotten more attention than average, scoring higher than 52% 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 122,885 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 58% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.