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X Demographics
Mendeley readers
| Title |
The Global Consortium for Drug-resistant Tuberculosis Diagnostics (GCDD): design of a multi-site, head-to-head study of three rapid tests to detect extensively drug-resistant tuberculosis
|
|---|---|
| Published in |
Trials, November 2014
|
| DOI | 10.1186/1745-6215-15-434 |
| Pubmed ID | |
| Authors |
Naomi Hillery, Erik J Groessl, Andre Trollip, Donald Catanzaro, Lynn Jackson, Timothy C Rodwell, Richard S Garfein, S-Y Grace Lin, Kathleen Eisenach, Theodore G Ganiats, Daniel Park, Faramarz Valafar, Camilla Rodrigues, Valeriu Crudu, Thomas C Victor, Antonino Catanzaro |
| Abstract |
Drug-resistant tuberculosis (DR-TB) remains a threat to global public health, owing to the complexity and delay of diagnosis and treatment. The Global Consortium for Drug-resistant Tuberculosis Diagnostics (GCDD) was formed to develop and evaluate assays designed to rapidly detect DR-TB, so that appropriate treatment might begin more quickly. This paper describes the methodology employed in a prospective cohort study for head-to-head assessment of three different rapid diagnostic tools. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 143 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 34 | 23% |
| Researcher | 19 | 13% |
| Student > Ph. D. Student | 13 | 9% |
| Student > Bachelor | 13 | 9% |
| Other | 9 | 6% |
| Other | 24 | 17% |
| Unknown | 33 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 41 | 28% |
| Agricultural and Biological Sciences | 12 | 8% |
| Nursing and Health Professions | 12 | 8% |
| Biochemistry, Genetics and Molecular Biology | 10 | 7% |
| Unspecified | 7 | 5% |
| Other | 22 | 15% |
| Unknown | 41 | 28% |