| Title |
Head-to-Head Comparison of Left Ventricular Function Assessment with 64-Row Computed Tomography, Biplane Left Cineventriculography, and Both 2- and 3-Dimensional Transthoracic Echocardiography
|
|---|---|
| Published in |
JACC, May 2012
|
| DOI | 10.1016/j.jacc.2012.01.046 |
| Pubmed ID | |
| Authors |
Johannes Greupner, Elke Zimmermann, Andrea Grohmann, Hans-Peter Dübel, Till Althoff, Adrian C. Borges, Wolfgang Rutsch, Peter Schlattmann, Bernd Hamm, Marc Dewey |
| Abstract |
This study was designed to compare the accuracy of 64-row contrast computed tomography (CT), invasive cineventriculography (CVG), 2-dimensional echocardiography (2D Echo), and 3-dimensional echocardiography (3D Echo) for left ventricular (LV) function assessment with magnetic resonance imaging (MRI). |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Italy | 1 | <1% |
| Germany | 1 | <1% |
| Spain | 1 | <1% |
| New Zealand | 1 | <1% |
| Unknown | 124 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 15% |
| Student > Ph. D. Student | 18 | 14% |
| Other | 12 | 9% |
| Student > Bachelor | 12 | 9% |
| Student > Doctoral Student | 10 | 8% |
| Other | 29 | 22% |
| Unknown | 30 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 73 | 56% |
| Engineering | 6 | 5% |
| Agricultural and Biological Sciences | 4 | 3% |
| Veterinary Science and Veterinary Medicine | 3 | 2% |
| Computer Science | 1 | <1% |
| Other | 5 | 4% |
| Unknown | 38 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 21 December 2022.
All research outputs
#5,896,076
of 23,392,375 outputs
Outputs from JACC
#8,189
of 15,862 outputs
Outputs of similar age
#40,020
of 164,993 outputs
Outputs of similar age from JACC
#40
of 93 outputs
Altmetric has tracked 23,392,375 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 15,862 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.4. This one is in the 48th percentile – i.e., 48% 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 164,993 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 93 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 56% of its contemporaries.