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Mendeley readers
| Title |
Inferring transcriptional modules from ChIP-chip, motif and microarray data
|
|---|---|
| Published in |
Genome Biology, May 2006
|
| DOI | 10.1186/gb-2006-7-5-r37 |
| Pubmed ID | |
| Authors |
Karen Lemmens, Thomas Dhollander, Tijl De Bie, Pieter Monsieurs, Kristof Engelen, Bart Smets, Joris Winderickx, Bart De Moor, Kathleen Marchal |
Mendeley readers
The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 4% |
| Portugal | 3 | 3% |
| Belgium | 3 | 3% |
| United Kingdom | 3 | 3% |
| Germany | 2 | 2% |
| France | 2 | 2% |
| Australia | 1 | <1% |
| Luxembourg | 1 | <1% |
| Unknown | 82 | 81% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 33 | 33% |
| Student > Ph. D. Student | 21 | 21% |
| Professor > Associate Professor | 12 | 12% |
| Professor | 7 | 7% |
| Other | 7 | 7% |
| Other | 12 | 12% |
| Unknown | 9 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 56 | 55% |
| Computer Science | 10 | 10% |
| Biochemistry, Genetics and Molecular Biology | 8 | 8% |
| Medicine and Dentistry | 5 | 5% |
| Engineering | 3 | 3% |
| Other | 9 | 9% |
| Unknown | 10 | 10% |