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Mendeley readers
Title |
Improving classification in protein structure databases using text mining
|
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Published in |
BMC Bioinformatics, May 2009
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DOI | 10.1186/1471-2105-10-129 |
Pubmed ID | |
Authors |
Antonis Koussounadis, Oliver C Redfern, David T Jones |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 2% |
Mexico | 1 | 2% |
United States | 1 | 2% |
Unknown | 48 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 13 | 25% |
Student > Ph. D. Student | 8 | 16% |
Student > Master | 6 | 12% |
Student > Bachelor | 5 | 10% |
Other | 4 | 8% |
Other | 8 | 16% |
Unknown | 7 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 23 | 45% |
Biochemistry, Genetics and Molecular Biology | 7 | 14% |
Agricultural and Biological Sciences | 4 | 8% |
Social Sciences | 3 | 6% |
Engineering | 3 | 6% |
Other | 5 | 10% |
Unknown | 6 | 12% |