You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Title |
Bone Strain Index predicts fragility fracture in osteoporotic women: an artificial intelligence-based study
|
---|---|
Published in |
European Radiology Experimental, October 2021
|
DOI | 10.1186/s41747-021-00242-0 |
Pubmed ID | |
Authors |
Fabio Massimo Ulivieri, Luca Rinaudo, Carmelo Messina, Luca Petruccio Piodi, Davide Capra, Barbara Lupi, Camilla Meneguzzo, Luca Maria Sconfienza, Francesco Sardanelli, Andrea Giustina, Enzo Grossi |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 31 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 16% |
Researcher | 4 | 13% |
Student > Master | 3 | 10% |
Professor | 2 | 6% |
Student > Bachelor | 2 | 6% |
Other | 3 | 10% |
Unknown | 12 | 39% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 9 | 29% |
Nursing and Health Professions | 2 | 6% |
Engineering | 2 | 6% |
Computer Science | 1 | 3% |
Economics, Econometrics and Finance | 1 | 3% |
Other | 1 | 3% |
Unknown | 15 | 48% |