| Title |
Hip Fracture Discrimination Based on Statistical Multi-parametric Modeling (SMPM)
|
|---|---|
| Published in |
Annals of Biomedical Engineering, May 2019
|
| DOI | 10.1007/s10439-019-02298-x |
| Pubmed ID | |
| Authors |
Julio Carballido-Gamio, Aihong Yu, Ling Wang, Yongbin Su, Andrew J. Burghardt, Thomas F. Lang, Xiaoguang Cheng |
X Demographics
The data shown below were collected from the profiles of 6 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 States | 2 | 33% |
| Germany | 1 | 17% |
| Netherlands | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Science communicators (journalists, bloggers, editors) | 2 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 19% |
| Student > Ph. D. Student | 5 | 14% |
| Other | 4 | 11% |
| Student > Postgraduate | 2 | 6% |
| Unspecified | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 14 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 28% |
| Engineering | 4 | 11% |
| Computer Science | 2 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Business, Management and Accounting | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 14 | 39% |