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Mendeley readers
| Title |
mPUMA: a computational approach to microbiota analysis by de novo assembly of operational taxonomic units based on protein-coding barcode sequences
|
|---|---|
| Published in |
Microbiome, August 2013
|
| DOI | 10.1186/2049-2618-1-23 |
| Pubmed ID | |
| Authors |
Matthew G Links, Bonnie Chaban, Sean M Hemmingsen, Kevin Muirhead, Janet E Hill |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Spain | 2 | 2% |
| Canada | 2 | 2% |
| Brazil | 1 | 1% |
| Sweden | 1 | 1% |
| Australia | 1 | 1% |
| Costa Rica | 1 | 1% |
| Estonia | 1 | 1% |
| Unknown | 81 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 29 | 32% |
| Student > Master | 15 | 16% |
| Student > Ph. D. Student | 13 | 14% |
| Professor > Associate Professor | 8 | 9% |
| Student > Bachelor | 5 | 5% |
| Other | 14 | 15% |
| Unknown | 8 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 39 | 42% |
| Medicine and Dentistry | 10 | 11% |
| Immunology and Microbiology | 9 | 10% |
| Biochemistry, Genetics and Molecular Biology | 8 | 9% |
| Computer Science | 4 | 4% |
| Other | 11 | 12% |
| Unknown | 11 | 12% |