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Mendeley readers
Title |
ProMiner: rule-based protein and gene entity recognition
|
---|---|
Published in |
BMC Bioinformatics, May 2005
|
DOI | 10.1186/1471-2105-6-s1-s14 |
Pubmed ID | |
Authors |
Daniel Hanisch, Katrin Fundel, Heinz-Theodor Mevissen, Ralf Zimmer, Juliane Fluck |
Mendeley readers
The data shown below were compiled from readership statistics for 161 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 5 | 3% |
United States | 5 | 3% |
Portugal | 2 | 1% |
France | 2 | 1% |
Italy | 2 | 1% |
Spain | 2 | 1% |
Brazil | 1 | <1% |
India | 1 | <1% |
Canada | 1 | <1% |
Other | 3 | 2% |
Unknown | 137 | 85% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 38 | 24% |
Student > Master | 30 | 19% |
Researcher | 26 | 16% |
Other | 11 | 7% |
Student > Bachelor | 7 | 4% |
Other | 23 | 14% |
Unknown | 26 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 67 | 42% |
Agricultural and Biological Sciences | 39 | 24% |
Biochemistry, Genetics and Molecular Biology | 9 | 6% |
Engineering | 5 | 3% |
Chemistry | 3 | 2% |
Other | 10 | 6% |
Unknown | 28 | 17% |