| Title |
Statistical Shape Modeling Approach to Predict Missing Scapular Bone
|
|---|---|
| Published in |
Annals of Biomedical Engineering, September 2019
|
| DOI | 10.1007/s10439-019-02354-6 |
| Pubmed ID | |
| Authors |
Asma Salhi, Valerie Burdin, Arnaud Boutillon, Sylvain Brochard, Tinashe Mutsvangwa, Bhushan Borotikar |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 4 | 36% |
| South Africa | 2 | 18% |
| United States | 1 | 9% |
| Unknown | 4 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 55% |
| Science communicators (journalists, bloggers, editors) | 3 | 27% |
| Scientists | 2 | 18% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 21% |
| Researcher | 7 | 12% |
| Student > Bachelor | 7 | 12% |
| Student > Master | 4 | 7% |
| Student > Doctoral Student | 3 | 5% |
| Other | 7 | 12% |
| Unknown | 18 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 20 | 34% |
| Medicine and Dentistry | 6 | 10% |
| Nursing and Health Professions | 4 | 7% |
| Computer Science | 3 | 5% |
| Psychology | 1 | 2% |
| Other | 2 | 3% |
| Unknown | 22 | 38% |