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X Demographics
Mendeley readers
Attention Score in Context
| Title |
In vivo contrast free chronic myocardial infarction characterization using diffusion-weighted cardiovascular magnetic resonance
|
|---|---|
| Published in |
Critical Reviews in Diagnostic Imaging, September 2014
|
| DOI | 10.1186/s12968-014-0068-y |
| Pubmed ID | |
| Authors |
Christopher Nguyen, Zhaoyang Fan, Yibin Xie, James Dawkins, Eleni Tseliou, Xiaoming Bi, Behzad Sharif, Rohan Dharmakumar, Eduardo Marbán, Debiao Li |
| Abstract |
Despite the established role of late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) in characterizing chronic myocardial infarction (MI), a significant portion of chronic MI patients are contraindicative for the use of contrast agents. One promising alternative contrast free technique is diffusion weighted CMR (dwCMR), which has been shown ex vivo to be sensitive to myocardial fibrosis. We used a recently developed in vivo dwCMR in chronic MI pigs to compare apparent diffusion coefficient (ADC) maps with LGE imaging for infarct characterization. |
X Demographics
The data shown below were collected from the profiles of 5 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 | 2 | 40% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 91 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 24% |
| Researcher | 18 | 19% |
| Student > Master | 6 | 6% |
| Other | 5 | 5% |
| Student > Doctoral Student | 4 | 4% |
| Other | 17 | 18% |
| Unknown | 21 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 25% |
| Engineering | 17 | 18% |
| Physics and Astronomy | 8 | 9% |
| Computer Science | 3 | 3% |
| Agricultural and Biological Sciences | 2 | 2% |
| Other | 9 | 10% |
| Unknown | 31 | 33% |
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 23 October 2019.
All research outputs
#6,612,159
of 25,728,855 outputs
Outputs from Critical Reviews in Diagnostic Imaging
#461
of 1,386 outputs
Outputs of similar age
#62,907
of 260,699 outputs
Outputs of similar age from Critical Reviews in Diagnostic Imaging
#9
of 31 outputs
Altmetric has tracked 25,728,855 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 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 has gotten more attention than average, scoring higher than 66% 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 260,699 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 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 70% of its contemporaries.