Title |
Targeted Regeneration of Bone in the Osteoporotic Human Femur
|
---|---|
Published in |
PLOS ONE, January 2011
|
DOI | 10.1371/journal.pone.0016190 |
Pubmed ID | |
Authors |
Kenneth E. S. Poole, Graham M. Treece, Gerard R. Ridgway, Paul M. Mayhew, Jan Borggrefe, Andrew H. Gee |
Abstract |
We have recently developed image processing techniques for measuring the cortical thicknesses of skeletal structures in vivo, with resolution surpassing that of the underlying computed tomography system. The resulting thickness maps can be analysed across cohorts by statistical parametric mapping. Applying these methods to the proximal femurs of osteoporotic women, we discover targeted and apparently synergistic effects of pharmaceutical osteoporosis therapy and habitual mechanical load in enhancing bone thickness. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
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 % |
---|---|---|
Switzerland | 1 | 2% |
Ireland | 1 | 2% |
Finland | 1 | 2% |
United Kingdom | 1 | 2% |
United States | 1 | 2% |
Unknown | 50 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 15 | 27% |
Student > Ph. D. Student | 11 | 20% |
Other | 5 | 9% |
Student > Bachelor | 4 | 7% |
Professor > Associate Professor | 4 | 7% |
Other | 10 | 18% |
Unknown | 6 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 28 | 51% |
Engineering | 8 | 15% |
Agricultural and Biological Sciences | 2 | 4% |
Immunology and Microbiology | 2 | 4% |
Social Sciences | 2 | 4% |
Other | 6 | 11% |
Unknown | 7 | 13% |