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Mendeley readers
| Title |
Use of data mining techniques to investigate disease risk classification as a proxy for compromised biosecurity of cattle herds in Wales
|
|---|---|
| Published in |
BMC Veterinary Research, July 2008
|
| DOI | 10.1186/1746-6148-4-24 |
| Pubmed ID | |
| Authors |
Ángel Ortiz-Pelaez, Dirk U Pfeiffer |
Mendeley readers
The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Chile | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 100 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 21% |
| Student > Master | 18 | 17% |
| Researcher | 17 | 16% |
| Other | 6 | 6% |
| Student > Doctoral Student | 6 | 6% |
| Other | 21 | 20% |
| Unknown | 14 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 32 | 31% |
| Veterinary Science and Veterinary Medicine | 16 | 15% |
| Computer Science | 12 | 12% |
| Medicine and Dentistry | 10 | 10% |
| Engineering | 4 | 4% |
| Other | 10 | 10% |
| Unknown | 20 | 19% |