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Mendeley readers
| Title |
Diagnostic accuracy of existing methods for identifying diabetic foot ulcers from inpatient and outpatient datasets
|
|---|---|
| Published in |
Journal of Foot and Ankle Research, November 2010
|
| DOI | 10.1186/1757-1146-3-27 |
| Pubmed ID | |
| Authors |
Min-Woong Sohn, Elly Budiman-Mak, Rodney M Stuck, Farah Siddiqui, Todd A Lee |
| Abstract |
As the number of persons with diabetes is projected to double in the next 25 years in the US, an accurate method of identifying diabetic foot ulcers in population-based data sources are ever more important for disease surveillance and public health purposes. The objectives of this study are to evaluate the accuracy of existing methods and to propose a new method. |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Unknown | 33 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 29% |
| Student > Master | 4 | 12% |
| Student > Bachelor | 4 | 12% |
| Student > Ph. D. Student | 3 | 9% |
| Lecturer | 2 | 6% |
| Other | 8 | 24% |
| Unknown | 3 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 47% |
| Social Sciences | 3 | 9% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Nursing and Health Professions | 2 | 6% |
| Agricultural and Biological Sciences | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 6 | 18% |