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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Quantification of cervical spine muscle fat: a comparison between T1-weighted and multi-echo gradient echo imaging using a variable projection algorithm (VARPRO)
|
|---|---|
| Published in |
BMC Medical Imaging, September 2013
|
| DOI | 10.1186/1471-2342-13-30 |
| Pubmed ID | |
| Authors |
James M Elliott, David M Walton, Alfred Rademaker, Todd B Parrish |
| Abstract |
Previous data using T1-weighted MRI demonstrated neck muscle fat infiltration (MFI) in patients with poor functional recovery following whiplash. Such findings do not occur in those with milder symptoms of whiplash, chronic non-traumatic neck pain or healthy controls, suggesting traumatic factors play a role. Muscle degeneration could potentially represent a quantifiable marker of poor recovery, but the temporal constraints of running a T1-weighted sequence and performing the subsequent analysis for muscle fat may be a barrier for clinical translation. The purpose of this preliminary study was to evaluate, quantify and compare MFI for the cervical multifidus muscles with T1-weighted imaging and a more rapid quantitative 3D multi-echo gradient echo (GRE) Dixon based method in healthy subjects. |
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 % |
|---|---|---|
| Brazil | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Unknown | 65 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 24% |
| Researcher | 13 | 20% |
| Student > Doctoral Student | 8 | 12% |
| Student > Ph. D. Student | 7 | 11% |
| Other | 4 | 6% |
| Other | 9 | 14% |
| Unknown | 9 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 21 | 32% |
| Nursing and Health Professions | 10 | 15% |
| Sports and Recreations | 5 | 8% |
| Engineering | 5 | 8% |
| Agricultural and Biological Sciences | 3 | 5% |
| Other | 9 | 14% |
| Unknown | 13 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 10 November 2017.
All research outputs
#13,505,102
of 23,299,593 outputs
Outputs from BMC Medical Imaging
#148
of 614 outputs
Outputs of similar age
#103,672
of 199,719 outputs
Outputs of similar age from BMC Medical Imaging
#4
of 12 outputs
Altmetric has tracked 23,299,593 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 614 research outputs from this source. They receive a mean Attention Score of 2.1. This one has gotten more attention than average, scoring higher than 74% 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 199,719 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.