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Attention Score in Context
| Title |
High resolution 3D diffusion cardiovascular magnetic resonance of carotid vessel wall to detect lipid core without contrast media
|
|---|---|
| Published in |
Critical Reviews in Diagnostic Imaging, September 2014
|
| DOI | 10.1186/s12968-014-0067-z |
| Pubmed ID | |
| Authors |
Yibin Xie, Wei Yu, Zhaoyang Fan, Christopher Nguyen, Xiaoming Bi, Jing An, Tianjing Zhang, Zhaoqi Zhang, Debiao Li |
| Abstract |
Without the need of contrast media, diffusion-weighted imaging (DWI) has shown great promise for accurate detection of lipid-rich necrotic core (LRNC), a well-known feature of vulnerable plaques. However, limited resolution and poor image quality in vivo with conventional single-shot diffusion-weighted echo planar imaging (SS-DWEPI) has hindered its clinical application. The aim of this work is to develop a diffusion-prepared turbo-spin-echo (DP-TSE) technique for carotid plaque characterization with 3D high resolution and improved image quality. |
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 % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 2% |
| Unknown | 54 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 20% |
| Researcher | 11 | 20% |
| Student > Master | 6 | 11% |
| Student > Doctoral Student | 4 | 7% |
| Student > Postgraduate | 3 | 5% |
| Other | 8 | 15% |
| Unknown | 12 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 29% |
| Engineering | 11 | 20% |
| Physics and Astronomy | 6 | 11% |
| Computer Science | 2 | 4% |
| Neuroscience | 2 | 4% |
| Other | 5 | 9% |
| Unknown | 13 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 08 May 2019.
All research outputs
#7,168,177
of 25,711,518 outputs
Outputs from Critical Reviews in Diagnostic Imaging
#532
of 1,386 outputs
Outputs of similar age
#68,502
of 260,709 outputs
Outputs of similar age from Critical Reviews in Diagnostic Imaging
#12
of 31 outputs
Altmetric has tracked 25,711,518 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st 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 7.1. This one has gotten more attention than average, scoring higher than 60% 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 260,709 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% 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 61% of its contemporaries.