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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Role of Cardiac Magnetic Resonance in the Diagnosis and Prognosis of Nonischemic Cardiomyopathy
|
|---|---|
| Published in |
JACC: Cardiovascular Imaging, October 2017
|
| DOI | 10.1016/j.jcmg.2017.08.005 |
| Pubmed ID | |
| Authors |
Amit R. Patel, Christopher M. Kramer |
| Abstract |
Cardiac magnetic resonance (CMR) is a valuable tool for the evaluation of patients with, or at risk for, heart failure and has a growing impact on diagnosis, clinical management, and decision making. Through its ability to characterize the myocardium by using multiple different imaging parameters, it provides insight into the etiology of the underlying heart failure and its prognosis. CMR is widely accepted as the reference standard for quantifying chamber size and ejection fraction. Additionally, tissue characterization techniques such as late gadolinium enhancement (LGE) and other quantitative parameters such as T1 mapping, both native and with measurement of extracellular volume fraction; T2 mapping; and T2* mapping have been validated against histological findings in a wide range of clinical scenarios. In particular, the pattern of LGE in the myocardium can help determine the underlying etiology of the heart failure. The presence and extent of LGE determine prognosis in many of the nonischemic cardiomyopathies. The use of CMR should increase as its utility in characterization and assessment of prognosis in cardiomyopathies is increasingly recognized. |
X Demographics
The data shown below were collected from the profiles of 135 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 23 | 17% |
| Spain | 13 | 10% |
| Venezuela, Bolivarian Republic of | 11 | 8% |
| Mexico | 11 | 8% |
| Italy | 4 | 3% |
| Chile | 3 | 2% |
| United Kingdom | 3 | 2% |
| Australia | 2 | 1% |
| Portugal | 2 | 1% |
| Other | 15 | 11% |
| Unknown | 48 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 96 | 71% |
| Practitioners (doctors, other healthcare professionals) | 21 | 16% |
| Scientists | 14 | 10% |
| Science communicators (journalists, bloggers, editors) | 4 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 281 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 281 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 38 | 14% |
| Student > Postgraduate | 34 | 12% |
| Student > Bachelor | 27 | 10% |
| Other | 25 | 9% |
| Student > Master | 25 | 9% |
| Other | 57 | 20% |
| Unknown | 75 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 148 | 53% |
| Engineering | 9 | 3% |
| Agricultural and Biological Sciences | 7 | 2% |
| Biochemistry, Genetics and Molecular Biology | 6 | 2% |
| Nursing and Health Professions | 4 | 1% |
| Other | 19 | 7% |
| Unknown | 88 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 78. 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 22 July 2019.
All research outputs
#558,666
of 25,738,558 outputs
Outputs from JACC: Cardiovascular Imaging
#126
of 2,722 outputs
Outputs of similar age
#11,683
of 332,238 outputs
Outputs of similar age from JACC: Cardiovascular Imaging
#4
of 52 outputs
Altmetric has tracked 25,738,558 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,722 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one has done particularly well, scoring higher than 95% 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 332,238 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.