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Mendeley readers
| Title |
Predicting domain-domain interactions using a parsimony approach
|
|---|---|
| Published in |
Genome Biology, November 2006
|
| DOI | 10.1186/gb-2006-7-11-r104 |
| Pubmed ID | |
| Authors |
Katia S Guimarães, Raja Jothi, Elena Zotenko, Teresa M Przytycka |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 5% |
| Hong Kong | 1 | 2% |
| Australia | 1 | 2% |
| United Kingdom | 1 | 2% |
| Canada | 1 | 2% |
| Denmark | 1 | 2% |
| Greece | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 48 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 31% |
| Researcher | 18 | 31% |
| Student > Master | 5 | 9% |
| Professor > Associate Professor | 4 | 7% |
| Student > Postgraduate | 2 | 3% |
| Other | 5 | 9% |
| Unknown | 6 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 28 | 48% |
| Computer Science | 10 | 17% |
| Biochemistry, Genetics and Molecular Biology | 5 | 9% |
| Mathematics | 2 | 3% |
| Environmental Science | 1 | 2% |
| Other | 5 | 9% |
| Unknown | 7 | 12% |