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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Characterization of brown adipose tissue by water–fat separated magnetic resonance imaging
|
|---|---|
| Published in |
Journal of Magnetic Resonance Imaging, April 2015
|
| DOI | 10.1002/jmri.24931 |
| Pubmed ID | |
| Authors |
Thobias Romu, Louise Elander, Olof Dahlqvist Leinhard, Martin E Lidell, Matthias J Betz, Anders Persson, Sven Enerbäck, Magnus Borga |
| Abstract |
To evaluate the possibility of quantifying brown adipose tissue (BAT) volume and fat concentration with a high resolution, long echo time, dual-echo Dixon imaging protocol. A 0.42 mm isotropic resolution water-fat separated MRI protocol was implemented by using the second opposite-phase echo and third in-phase echo. Fat images were calibrated with regard to the intensity of nearby white adipose tissue (WAT) to form relative fat content (RFC) images. To evaluate the ability to measure BAT volume and RFC contrast dynamics, rats were divided into two groups that were kept at 4° or 22°C for 5 days. The rats were then scanned in a 70 cm bore 3.0 Tesla MRI scanner and a human dual energy CT. Interscapular, paraaortal, and perirenal BAT (i/pa/pr-BAT) depots as well as WAT and muscle were segmented in the MRI and CT images. Biopsies were collected from the identified BAT depots. The biopsies confirmed that the three depots identified with the RFC images consisted of BAT. There was a significant linear correlation (P < 0.001) between the measured RFC and the Hounsfield units from DECT. Significantly lower iBAT RFC (P = 0.0064) and significantly larger iBAT and prBAT volumes (P = 0.0017) were observed in the cold stimulated rats. The calibrated Dixon images with RFC scaling can depict BAT and be used to measure differences in volume, and fat concentration, induced by cold stimulation. The high correlation between RFC and HU suggests that the fat concentration is the main RFC image contrast mechanism. J. Magn. Reson. Imaging 2015. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 5% |
| Turkey | 1 | 2% |
| Unknown | 40 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 28% |
| Student > Ph. D. Student | 9 | 21% |
| Student > Master | 6 | 14% |
| Professor > Associate Professor | 3 | 7% |
| Professor | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 6 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 19% |
| Engineering | 7 | 16% |
| Neuroscience | 4 | 9% |
| Physics and Astronomy | 2 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Other | 4 | 9% |
| Unknown | 16 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 24 January 2019.
All research outputs
#4,601,419
of 24,453,338 outputs
Outputs from Journal of Magnetic Resonance Imaging
#381
of 3,778 outputs
Outputs of similar age
#54,837
of 269,707 outputs
Outputs of similar age from Journal of Magnetic Resonance Imaging
#2
of 78 outputs
Altmetric has tracked 24,453,338 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,778 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 88% 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 269,707 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 78% of its contemporaries.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.