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Mendeley readers
| Title |
Detection and characterization of 3D-signature phosphorylation site motifs and their contribution towards improved phosphorylation site prediction in proteins
|
|---|---|
| Published in |
BMC Bioinformatics, April 2009
|
| DOI | 10.1186/1471-2105-10-117 |
| Pubmed ID | |
| Authors |
Pawel Durek, Christian Schudoma, Wolfram Weckwerth, Joachim Selbig, Dirk Walther |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 3% |
| Germany | 1 | 1% |
| Italy | 1 | 1% |
| United Kingdom | 1 | 1% |
| Argentina | 1 | 1% |
| Japan | 1 | 1% |
| Unknown | 68 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 23% |
| Researcher | 16 | 21% |
| Student > Master | 11 | 15% |
| Student > Bachelor | 5 | 7% |
| Professor | 3 | 4% |
| Other | 11 | 15% |
| Unknown | 12 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 34 | 45% |
| Biochemistry, Genetics and Molecular Biology | 13 | 17% |
| Computer Science | 7 | 9% |
| Chemistry | 2 | 3% |
| Business, Management and Accounting | 1 | 1% |
| Other | 6 | 8% |
| Unknown | 12 | 16% |