| Title |
Use of Whole Genome Sequencing to Determine the Microevolution of Mycobacterium tuberculosis during an Outbreak
|
|---|---|
| Published in |
PLOS ONE, March 2013
|
| DOI | 10.1371/journal.pone.0058235 |
| Pubmed ID | |
| Authors |
Midori Kato-Maeda, Christine Ho, Ben Passarelli, Niaz Banaei, Jennifer Grinsdale, Laura Flores, Jillian Anderson, Megan Murray, Graham Rose, L. Masae Kawamura, Nader Pourmand, Muhammad A. Tariq, Sebastien Gagneux, Philip C. Hopewell |
| Abstract |
Current tools available to study the molecular epidemiology of tuberculosis do not provide information about the directionality and sequence of transmission for tuberculosis cases occurring over a short period of time, such as during an outbreak. Recently, whole genome sequencing has been used to study molecular epidemiology of Mycobacterium tuberculosis over short time periods. |
X Demographics
The data shown below were collected from the profiles of 17 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 States | 5 | 29% |
| United Kingdom | 2 | 12% |
| Finland | 1 | 6% |
| Germany | 1 | 6% |
| Canada | 1 | 6% |
| Denmark | 1 | 6% |
| Montenegro | 1 | 6% |
| Unknown | 5 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 11 | 65% |
| Members of the public | 5 | 29% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 190 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| Italy | 2 | 1% |
| United Kingdom | 2 | 1% |
| Sweden | 1 | <1% |
| Colombia | 1 | <1% |
| Zimbabwe | 1 | <1% |
| Belgium | 1 | <1% |
| Canada | 1 | <1% |
| Spain | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 176 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 54 | 28% |
| Student > Master | 36 | 19% |
| Student > Ph. D. Student | 28 | 15% |
| Student > Bachelor | 14 | 7% |
| Student > Postgraduate | 7 | 4% |
| Other | 29 | 15% |
| Unknown | 22 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 59 | 31% |
| Biochemistry, Genetics and Molecular Biology | 36 | 19% |
| Medicine and Dentistry | 29 | 15% |
| Immunology and Microbiology | 14 | 7% |
| Veterinary Science and Veterinary Medicine | 4 | 2% |
| Other | 17 | 9% |
| Unknown | 31 | 16% |