Title |
Cortical Thickness Mapping to Identify Focal Osteoporosis in Patients with Hip Fracture
|
---|---|
Published in |
PLOS ONE, June 2012
|
DOI | 10.1371/journal.pone.0038466 |
Pubmed ID | |
Authors |
Kenneth E. S. Poole, Graham M. Treece, Paul M. Mayhew, Jan Vaculík, Pavel Dungl, Martin Horák, Jan J. Štěpán, Andrew H. Gee |
Abstract |
Individuals with osteoporosis are predisposed to hip fracture during trips, stumbles or falls, but half of all hip fractures occur in those without generalised osteoporosis. By analysing ordinary clinical CT scans using a novel cortical thickness mapping technique, we discovered patches of markedly thinner bone at fracture-prone regions in the femurs of women with acute hip fracture compared with controls. |
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 % |
---|---|---|
United Kingdom | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 2 | 2% |
United Kingdom | 2 | 2% |
Italy | 1 | <1% |
India | 1 | <1% |
Australia | 1 | <1% |
Spain | 1 | <1% |
United States | 1 | <1% |
Unknown | 106 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 30 | 26% |
Researcher | 25 | 22% |
Other | 11 | 10% |
Student > Master | 11 | 10% |
Student > Bachelor | 10 | 9% |
Other | 12 | 10% |
Unknown | 16 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 35 | 30% |
Engineering | 30 | 26% |
Biochemistry, Genetics and Molecular Biology | 5 | 4% |
Agricultural and Biological Sciences | 5 | 4% |
Computer Science | 4 | 3% |
Other | 11 | 10% |
Unknown | 25 | 22% |