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Mendeley readers
| Title |
MOTIPS: Automated Motif Analysis for Predicting Targets of Modular Protein Domains
|
|---|---|
| Published in |
BMC Bioinformatics, May 2010
|
| DOI | 10.1186/1471-2105-11-243 |
| Pubmed ID | |
| Authors |
Hugo YK Lam, Philip M Kim, Janine Mok, Raffi Tonikian, Sachdev S Sidhu, Benjamin E Turk, Michael Snyder, Mark B Gerstein |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 7% |
| Germany | 2 | 3% |
| Ireland | 2 | 3% |
| United Kingdom | 2 | 3% |
| Colombia | 1 | 1% |
| Italy | 1 | 1% |
| Spain | 1 | 1% |
| Denmark | 1 | 1% |
| Unknown | 54 | 78% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 29% |
| Researcher | 19 | 28% |
| Professor > Associate Professor | 7 | 10% |
| Student > Master | 5 | 7% |
| Student > Bachelor | 3 | 4% |
| Other | 11 | 16% |
| Unknown | 4 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 33 | 48% |
| Biochemistry, Genetics and Molecular Biology | 13 | 19% |
| Computer Science | 10 | 14% |
| Engineering | 2 | 3% |
| Unspecified | 1 | 1% |
| Other | 4 | 6% |
| Unknown | 6 | 9% |