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Mendeley readers
| Title |
HiTSEE KNIME: a visualization tool for hit selection and analysis in high-throughput screening experiments for the KNIME platform
|
|---|---|
| Published in |
BMC Bioinformatics, May 2012
|
| DOI | 10.1186/1471-2105-13-s8-s4 |
| Pubmed ID | |
| Authors |
Hendrik Strobelt, Enrico Bertini, Joachim Braun, Oliver Deussen, Ulrich Groth, Thomas U Mayer, Dorit Merhof |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 3% |
| Brazil | 2 | 3% |
| France | 1 | 2% |
| Belgium | 1 | 2% |
| Denmark | 1 | 2% |
| Unknown | 54 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 23% |
| Student > Ph. D. Student | 8 | 13% |
| Student > Bachelor | 6 | 10% |
| Professor | 6 | 10% |
| Student > Postgraduate | 6 | 10% |
| Other | 15 | 25% |
| Unknown | 6 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 16 | 26% |
| Agricultural and Biological Sciences | 13 | 21% |
| Chemistry | 11 | 18% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 5% |
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Other | 9 | 15% |
| Unknown | 6 | 10% |