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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Three-dimensional regional strain analysis in porcine myocardial infarction: a 3T magnetic resonance tagging study
|
|---|---|
| Published in |
Critical Reviews in Diagnostic Imaging, December 2012
|
| DOI | 10.1186/1532-429x-14-85 |
| Pubmed ID | |
| Authors |
Sahar Soleimanifard, Khaled Z Abd-Elmoniem, Tetsuo Sasano, Harsh K Agarwal, M Roselle Abraham, Theodore P Abraham, Jerry L Prince |
| Abstract |
Previous studies of mechanical strain anomalies in myocardial infarction (MI) have been largely limited to analysis of one-dimensional (1D) and two-dimensional (2D) strain parameters. Advances in cardiovascular magnetic resonance (CMR) methods now permit a complete three-dimensional (3D) interrogation of myocardial regional strain. The aim of this study was to investigate the incremental value of CMR-based 3D strain and to test the hypothesis that 3D strain is superior to 1D or 2D strain analysis in the assessment of viability using a porcine model of infarction. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Norway | 1 | 2% |
| Unknown | 46 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 27% |
| Student > Ph. D. Student | 11 | 23% |
| Student > Postgraduate | 4 | 8% |
| Other | 3 | 6% |
| Student > Bachelor | 2 | 4% |
| Other | 8 | 17% |
| Unknown | 7 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 40% |
| Engineering | 14 | 29% |
| Agricultural and Biological Sciences | 1 | 2% |
| Computer Science | 1 | 2% |
| Energy | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 9 | 19% |
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 18 December 2012.
All research outputs
#23,084,818
of 25,728,855 outputs
Outputs from Critical Reviews in Diagnostic Imaging
#1,293
of 1,386 outputs
Outputs of similar age
#258,232
of 288,174 outputs
Outputs of similar age from Critical Reviews in Diagnostic Imaging
#14
of 26 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,386 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 1st percentile – i.e., 1% 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 288,174 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.