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Mendeley readers
Chapter title |
Automated Tuberculosis Diagnosis Using Fluorescence Images from a Mobile Microscope
|
---|---|
Chapter number | 43 |
Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012
|
Published by |
Springer, Berlin, Heidelberg, October 2012
|
DOI | 10.1007/978-3-642-33454-2_43 |
Pubmed ID | |
Book ISBNs |
978-3-64-233453-5, 978-3-64-233454-2
|
Authors |
Jeannette Chang, Pablo Arbeláez, Neil Switz, Clay Reber, Asa Tapley, J. Lucian Davis, Adithya Cattamanchi, Daniel Fletcher, Jitendra Malik, Chang, Jeannette, Arbeláez, Pablo, Switz, Neil, Reber, Clay, Tapley, Asa, Davis, J. Lucian, Cattamanchi, Adithya, Fletcher, Daniel, Malik, Jitendra |
Mendeley readers
The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 1% |
Unknown | 89 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 15 | 17% |
Student > Ph. D. Student | 14 | 16% |
Student > Master | 12 | 13% |
Student > Bachelor | 11 | 12% |
Other | 6 | 7% |
Other | 12 | 13% |
Unknown | 20 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 16 | 18% |
Medicine and Dentistry | 15 | 17% |
Computer Science | 10 | 11% |
Agricultural and Biological Sciences | 8 | 9% |
Biochemistry, Genetics and Molecular Biology | 4 | 4% |
Other | 15 | 17% |
Unknown | 22 | 24% |