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Mendeley readers
| Title |
A software application for comparing large numbers of high resolution MALDI-FTICR MS spectra demonstrated by searching candidate biomarkers for glioma blood vessel formation
|
|---|---|
| Published in |
BMC Bioinformatics, March 2008
|
| DOI | 10.1186/1471-2105-9-133 |
| Pubmed ID | |
| Authors |
Mark K Titulaer, Dana AN Mustafa, Ivar Siccama, Marco Konijnenburg, Peter C Burgers, Arno C Andeweg, Peter AE Sillevis Smitt, Johan M Kros, Theo M Luider |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| South Africa | 1 | 3% |
| Unknown | 38 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 20% |
| Student > Ph. D. Student | 6 | 15% |
| Professor | 6 | 15% |
| Student > Master | 3 | 8% |
| Student > Bachelor | 2 | 5% |
| Other | 9 | 23% |
| Unknown | 6 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 25% |
| Agricultural and Biological Sciences | 10 | 25% |
| Biochemistry, Genetics and Molecular Biology | 3 | 8% |
| Chemistry | 3 | 8% |
| Neuroscience | 3 | 8% |
| Other | 4 | 10% |
| Unknown | 7 | 18% |