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Mendeley readers
| Title |
Use of spatiotemporal analysis of laboratory submission data to identify potential outbreaks of new or emerging diseases in cattle in Great Britain
|
|---|---|
| Published in |
BMC Veterinary Research, March 2011
|
| DOI | 10.1186/1746-6148-7-14 |
| Pubmed ID | |
| Authors |
Kieran Hyder, Alberto Vidal-Diez, Joanna Lawes, A Robin Sayers, Ailsa Milnes, Linda Hoinville, Alasdair JC Cook, Kieran Hyder, Alberto Vidal-Diez, Joanna Lawes, A Robin Sayers, Ailsa Milnes, Linda Hoinville, Alasdair JC Cook |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 5% |
| Denmark | 1 | 2% |
| Switzerland | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 56 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 26% |
| Student > Ph. D. Student | 9 | 15% |
| Student > Bachelor | 7 | 11% |
| Other | 6 | 10% |
| Student > Master | 6 | 10% |
| Other | 14 | 23% |
| Unknown | 4 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 19 | 31% |
| Veterinary Science and Veterinary Medicine | 12 | 19% |
| Medicine and Dentistry | 12 | 19% |
| Mathematics | 2 | 3% |
| Psychology | 2 | 3% |
| Other | 6 | 10% |
| Unknown | 9 | 15% |