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Mendeley readers
Title |
Development of an algorithm to identify fall-related injuries and costs in Medicare data
|
---|---|
Published in |
Injury Epidemiology, January 2016
|
DOI | 10.1186/s40621-015-0066-z |
Pubmed ID | |
Authors |
Sung-Bou Kim, David S. Zingmond, Emmett B. Keeler, Lee A. Jennings, Neil S. Wenger, David B. Reuben, David A. Ganz |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 33 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 24% |
Researcher | 5 | 15% |
Student > Master | 4 | 12% |
Student > Postgraduate | 3 | 9% |
Student > Bachelor | 2 | 6% |
Other | 5 | 15% |
Unknown | 6 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 9 | 27% |
Nursing and Health Professions | 6 | 18% |
Social Sciences | 3 | 9% |
Economics, Econometrics and Finance | 2 | 6% |
Engineering | 2 | 6% |
Other | 4 | 12% |
Unknown | 7 | 21% |