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Mendeley readers
| Title |
A Quantitative Histogram-Based Approach to Predict Treatment Outcome for Soft Tissue Sarcomas Using Pre- and Post-Treatment MRIs
|
|---|---|
| Published by |
Institute of Electrical and Electronics Engineers (IEEE), October 2016
|
| DOI | 10.1109/smc.2016.7844948 |
| Authors |
Hamidreza Farhidzadeh, Dmitry B. Goldgof, Lawrence O. Hall, Jacob G. Scott, Robert A. Gatenby, Robert J. Gillies, Meera Raghavan |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 8% |
| Unknown | 12 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 3 | 23% |
| Researcher | 3 | 23% |
| Student > Ph. D. Student | 1 | 8% |
| Professor | 1 | 8% |
| Student > Master | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 3 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 23% |
| Computer Science | 2 | 15% |
| Psychology | 1 | 8% |
| Nursing and Health Professions | 1 | 8% |
| Medicine and Dentistry | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 4 | 31% |