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Mendeley readers
| Title |
anNET: a tool for network-embedded thermodynamic analysis of quantitative metabolome data
|
|---|---|
| Published in |
BMC Bioinformatics, April 2008
|
| DOI | 10.1186/1471-2105-9-199 |
| Pubmed ID | |
| Authors |
Nicola Zamboni, Anne Kümmel, Matthias Heinemann |
Mendeley readers
The data shown below were compiled from readership statistics for 167 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 6 | 4% |
| Switzerland | 5 | 3% |
| United States | 5 | 3% |
| Sweden | 2 | 1% |
| United Kingdom | 2 | 1% |
| France | 1 | <1% |
| Austria | 1 | <1% |
| Estonia | 1 | <1% |
| Denmark | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 143 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 54 | 32% |
| Student > Ph. D. Student | 44 | 26% |
| Student > Master | 15 | 9% |
| Other | 9 | 5% |
| Professor | 9 | 5% |
| Other | 27 | 16% |
| Unknown | 9 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 84 | 50% |
| Biochemistry, Genetics and Molecular Biology | 20 | 12% |
| Engineering | 15 | 9% |
| Computer Science | 8 | 5% |
| Chemistry | 8 | 5% |
| Other | 18 | 11% |
| Unknown | 14 | 8% |