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Development of an algorithm to identify fall-related injuries and costs in Medicare data

Overview of attention for article published in Injury Epidemiology, January 2016
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Citations

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36 Dimensions

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33 Mendeley
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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

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%