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Mendeley readers
Title |
annot8r: GO, EC and KEGG annotation of EST datasets
|
---|---|
Published in |
BMC Bioinformatics, April 2008
|
DOI | 10.1186/1471-2105-9-180 |
Pubmed ID | |
Authors |
Ralf Schmid, Mark L Blaxter |
Mendeley readers
The data shown below were compiled from readership statistics for 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 3 | 2% |
United Kingdom | 3 | 2% |
United States | 2 | 1% |
Belgium | 2 | 1% |
Brazil | 1 | <1% |
Sweden | 1 | <1% |
Austria | 1 | <1% |
Switzerland | 1 | <1% |
Norway | 1 | <1% |
Other | 2 | 1% |
Unknown | 121 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 40 | 29% |
Student > Ph. D. Student | 30 | 22% |
Professor > Associate Professor | 11 | 8% |
Student > Doctoral Student | 9 | 7% |
Professor | 5 | 4% |
Other | 23 | 17% |
Unknown | 20 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 82 | 59% |
Biochemistry, Genetics and Molecular Biology | 14 | 10% |
Environmental Science | 5 | 4% |
Computer Science | 4 | 3% |
Medicine and Dentistry | 2 | 1% |
Other | 4 | 3% |
Unknown | 27 | 20% |