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Mendeley readers
Title |
Identifying disease associated genes by network propagation
|
---|---|
Published in |
BMC Systems Biology, January 2014
|
DOI | 10.1186/1752-0509-8-s1-s6 |
Pubmed ID | |
Authors |
Yu Qian, Søren Besenbacher, Thomas Mailund, Mikkel Heide Schierup |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 4% |
Malaysia | 1 | 2% |
India | 1 | 2% |
Germany | 1 | 2% |
Unknown | 41 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 11 | 24% |
Researcher | 11 | 24% |
Student > Master | 6 | 13% |
Student > Bachelor | 4 | 9% |
Professor > Associate Professor | 3 | 7% |
Other | 7 | 15% |
Unknown | 4 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 11 | 24% |
Computer Science | 10 | 22% |
Agricultural and Biological Sciences | 9 | 20% |
Engineering | 4 | 9% |
Mathematics | 3 | 7% |
Other | 4 | 9% |
Unknown | 5 | 11% |