| Title |
Uncharted waters: rare and unclassified cardiomyopathies characterized on cardiac magnetic resonance imaging
|
|---|---|
| Published in |
Insights into Imaging, October 2010
|
| DOI | 10.1007/s13244-010-0045-4 |
| Pubmed ID | |
| Authors |
Ailbhe C. O’Neill, Shaunagh McDermott, Carole A. Ridge, Kenneth McDonald, David Keane, Jonathan D. Dodd |
| Abstract |
Cardiac magnetic resonance imaging (CMR) has undergone considerable technology advances in recent years, so that it is now entering into mainstream cardiac imaging practice. In particular, CMR is proving to be a valuable imaging tool in the detection, morphological assessment and functional assessment of cardiomyopathies. Although our understanding of this broad group of heart disorders continues to expand, it is an evolving group of entities, with the rarer cardiomyopathies remaining poorly understood or even unclassified. In this review, we describe the clinical and pathophysiological aspects of several of the rare/unclassified cardiomyopathies and their appearance on CMR. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 6% |
| Unknown | 16 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 35% |
| Student > Ph. D. Student | 2 | 12% |
| Student > Master | 2 | 12% |
| Student > Postgraduate | 2 | 12% |
| Professor > Associate Professor | 2 | 12% |
| Other | 1 | 6% |
| Unknown | 2 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 71% |
| Agricultural and Biological Sciences | 1 | 6% |
| Mathematics | 1 | 6% |
| Unknown | 3 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 26 February 2012.
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#21,699,788
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Outputs from Insights into Imaging
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Outputs of similar age from Insights into Imaging
#7
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