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Mendeley readers
Title |
GOTree Machine (GOTM): a web-based platform for interpreting sets of interesting genes using Gene Ontology hierarchies
|
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Published in |
BMC Bioinformatics, February 2004
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DOI | 10.1186/1471-2105-5-16 |
Pubmed ID | |
Authors |
Bing Zhang, Denise Schmoyer, Stefan Kirov, Jay Snoddy |
Mendeley readers
The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 2% |
United Kingdom | 2 | 1% |
France | 1 | <1% |
Germany | 1 | <1% |
Canada | 1 | <1% |
Netherlands | 1 | <1% |
Unknown | 126 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 38 | 28% |
Student > Ph. D. Student | 26 | 19% |
Student > Master | 15 | 11% |
Professor > Associate Professor | 12 | 9% |
Other | 9 | 7% |
Other | 24 | 18% |
Unknown | 11 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 58 | 43% |
Computer Science | 19 | 14% |
Biochemistry, Genetics and Molecular Biology | 14 | 10% |
Medicine and Dentistry | 11 | 8% |
Engineering | 4 | 3% |
Other | 14 | 10% |
Unknown | 15 | 11% |