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Mendeley readers
| Title |
GC/MS based metabolomics: development of a data mining system for metabolite identification by using soft independent modeling of class analogy (SIMCA)
|
|---|---|
| Published in |
BMC Bioinformatics, May 2011
|
| DOI | 10.1186/1471-2105-12-131 |
| Pubmed ID | |
| Authors |
Hiroshi Tsugawa, Yuki Tsujimoto, Masanori Arita, Takeshi Bamba, Eiichiro Fukusaki |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 33% |
| France | 1 | 8% |
| Cuba | 1 | 8% |
| Malaysia | 1 | 8% |
| South Africa | 1 | 8% |
| Brazil | 1 | 8% |
| Japan | 1 | 8% |
| Canada | 1 | 8% |
| Unknown | 1 | 8% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 62 | 517% |
| Student > Ph. D. Student | 53 | 442% |
| Student > Master | 38 | 317% |
| Student > Bachelor | 26 | 217% |
| Student > Doctoral Student | 18 | 150% |
| Other | 51 | 425% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 99 | 825% |
| Chemistry | 49 | 408% |
| Biochemistry, Genetics and Molecular Biology | 25 | 208% |
| Engineering | 13 | 108% |
| Medicine and Dentistry | 13 | 108% |
| Other | 37 | 308% |