| Title |
Diagnostic Accuracy and Optimal Use of Three Tests for Tuberculosis in Live Badgers
|
|---|---|
| Published in |
PLOS ONE, June 2010
|
| DOI | 10.1371/journal.pone.0011196 |
| Pubmed ID | |
| Authors |
Julian A. Drewe, Alexandra J. Tomlinson, Neil J. Walker, Richard J. Delahay |
| Abstract |
Accurate diagnosis of tuberculosis (TB) due to infection with Mycobacterium bovis is notoriously difficult in live animals, yet important if we are to understand the epidemiology of TB and devise effective strategies to limit its spread. Currently available tests for diagnosing TB in live Eurasian badgers (Meles meles) remain unvalidated against a reliable gold standard. The aim of the present study was to evaluate the diagnostic accuracy and optimal use of three tests for TB in badgers in the absence of a gold standard. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 25% |
| United States | 1 | 25% |
| Canada | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 4% |
| Brazil | 2 | 2% |
| Kenya | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 85 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 23% |
| Student > Ph. D. Student | 20 | 22% |
| Student > Master | 8 | 9% |
| Student > Doctoral Student | 7 | 8% |
| Student > Postgraduate | 6 | 6% |
| Other | 19 | 20% |
| Unknown | 12 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 36 | 39% |
| Veterinary Science and Veterinary Medicine | 11 | 12% |
| Medicine and Dentistry | 11 | 12% |
| Environmental Science | 5 | 5% |
| Biochemistry, Genetics and Molecular Biology | 4 | 4% |
| Other | 9 | 10% |
| Unknown | 17 | 18% |