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Mendeley readers
Title |
AutoFACT: An Auto matic F unctional A nnotation and C lassification T ool
|
---|---|
Published in |
BMC Bioinformatics, June 2005
|
DOI | 10.1186/1471-2105-6-151 |
Pubmed ID | |
Authors |
Liisa B Koski, Michael W Gray, B Franz Lang, Gertraud Burger |
Mendeley readers
The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 3% |
Brazil | 2 | 2% |
Spain | 2 | 2% |
Germany | 1 | <1% |
Czechia | 1 | <1% |
Belgium | 1 | <1% |
Portugal | 1 | <1% |
United Kingdom | 1 | <1% |
Denmark | 1 | <1% |
Other | 0 | 0% |
Unknown | 107 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 32 | 26% |
Student > Ph. D. Student | 25 | 21% |
Student > Doctoral Student | 12 | 10% |
Student > Master | 11 | 9% |
Student > Postgraduate | 7 | 6% |
Other | 22 | 18% |
Unknown | 12 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 80 | 66% |
Biochemistry, Genetics and Molecular Biology | 12 | 10% |
Computer Science | 5 | 4% |
Medicine and Dentistry | 4 | 3% |
Immunology and Microbiology | 2 | 2% |
Other | 7 | 6% |
Unknown | 11 | 9% |