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Mendeley readers
| Title |
web cellHTS2: A web-application for the analysis of high-throughput screening data
|
|---|---|
| Published in |
BMC Bioinformatics, April 2010
|
| DOI | 10.1186/1471-2105-11-185 |
| Pubmed ID | |
| Authors |
Oliver Pelz, Moritz Gilsdorf, Michael Boutros |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 3% |
| United Kingdom | 1 | 1% |
| Denmark | 1 | 1% |
| Spain | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 66 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 25% |
| Student > Ph. D. Student | 14 | 19% |
| Student > Bachelor | 8 | 11% |
| Student > Master | 7 | 10% |
| Student > Doctoral Student | 4 | 6% |
| Other | 15 | 21% |
| Unknown | 6 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 31 | 43% |
| Biochemistry, Genetics and Molecular Biology | 14 | 19% |
| Medicine and Dentistry | 9 | 13% |
| Computer Science | 7 | 10% |
| Engineering | 3 | 4% |
| Other | 3 | 4% |
| Unknown | 5 | 7% |