| Title |
Material Mapping of QCT-Derived Scapular Models: A Comparison with Micro-CT Loaded Specimens Using Digital Volume Correlation
|
|---|---|
| Published in |
Annals of Biomedical Engineering, July 2019
|
| DOI | 10.1007/s10439-019-02312-2 |
| Pubmed ID | |
| Authors |
Nikolas K. Knowles, Jonathan Kusins, Mohammadreza Faieghi, Melissa Ryan, Enrico Dall’Ara, Louis M. Ferreira |
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 % |
|---|---|---|
| United Kingdom | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 23% |
| Student > Ph. D. Student | 5 | 19% |
| Professor > Associate Professor | 4 | 15% |
| Researcher | 2 | 8% |
| Other | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 5 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 16 | 62% |
| Medicine and Dentistry | 2 | 8% |
| Unknown | 8 | 31% |