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Mendeley readers
Title |
GliomaPredict: a clinically useful tool for assigning glioma patients to specific molecular subtypes
|
---|---|
Published in |
BMC Medical Informatics and Decision Making, July 2010
|
DOI | 10.1186/1472-6947-10-38 |
Pubmed ID | |
Authors |
Aiguo Li, Serdar Bozdag, Yuri Kotliarov, Howard A Fine |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 3% |
United States | 1 | 3% |
Ukraine | 1 | 3% |
Unknown | 29 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 22% |
Student > Ph. D. Student | 5 | 16% |
Student > Bachelor | 4 | 13% |
Other | 4 | 13% |
Student > Doctoral Student | 3 | 9% |
Other | 9 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 9 | 28% |
Agricultural and Biological Sciences | 9 | 28% |
Computer Science | 4 | 13% |
Biochemistry, Genetics and Molecular Biology | 2 | 6% |
Business, Management and Accounting | 2 | 6% |
Other | 6 | 19% |