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Mendeley readers
Attention Score in Context
| Title |
MR-Based Assessment of Bone Marrow Fat in Osteoporosis, Diabetes, and Obesity
|
|---|---|
| Published in |
Frontiers in endocrinology, June 2016
|
| DOI | 10.3389/fendo.2016.00074 |
| Pubmed ID | |
| Authors |
Christian Cordes, Thomas Baum, Michael Dieckmeyer, Stefan Ruschke, Maximilian N. Diefenbach, Hans Hauner, Jan S. Kirschke, Dimitrios C. Karampinos |
| Abstract |
Bone consists of the mineralized component (i.e., cortex and trabeculae) and the non-mineralized component (i.e., bone marrow). Most of the routine clinical bone imaging uses X-ray-based techniques and focuses on the mineralized component. However, bone marrow adiposity has been also shown to have a strong linkage with bone health. Specifically, multiple previous studies have demonstrated a negative association between bone marrow fat fraction (BMFF) and bone mineral density. Magnetic resonance imaging (MRI) and magnetic resonance spectroscopy (MRS) are ideal imaging techniques for non-invasively investigating the properties of bone marrow fat. In the present work, we first review the most important MRI and MRS methods for assessing properties of bone marrow fat, including methodologies for measuring BMFF and bone marrow fatty acid composition parameters. Previous MRI and MRS studies measuring BMFF and fat unsaturation in the context of osteoporosis are then reviewed. Finally, previous studies investigating the relationship between bone marrow fat, other fat depots, and bone health in patients with obesity and type 2 diabetes are presented. In summary, MRI and MRS are powerful non-invasive techniques for measuring properties of bone marrow fat in osteoporosis, obesity, and type 2 diabetes and can assist in future studies investigating the pathophysiology of bone changes in the above clinical scenarios. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 25% |
| United Kingdom | 1 | 25% |
| Switzerland | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Members of the public | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 96 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 18% |
| Student > Ph. D. Student | 13 | 14% |
| Student > Master | 11 | 11% |
| Student > Doctoral Student | 10 | 10% |
| Student > Bachelor | 6 | 6% |
| Other | 18 | 19% |
| Unknown | 21 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 26 | 27% |
| Engineering | 13 | 14% |
| Biochemistry, Genetics and Molecular Biology | 10 | 10% |
| Agricultural and Biological Sciences | 5 | 5% |
| Computer Science | 4 | 4% |
| Other | 13 | 14% |
| Unknown | 25 | 26% |
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 15 August 2017.
All research outputs
#14,387,928
of 25,373,627 outputs
Outputs from Frontiers in endocrinology
#2,758
of 13,009 outputs
Outputs of similar age
#188,159
of 367,717 outputs
Outputs of similar age from Frontiers in endocrinology
#18
of 70 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,009 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 78% 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 367,717 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 70 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 74% of its contemporaries.