| Title |
Rapid Detection and Identification of Human Hookworm Infections through High Resolution Melting (HRM) Analysis
|
|---|---|
| Published in |
PLOS ONE, July 2012
|
| DOI | 10.1371/journal.pone.0041996 |
| Pubmed ID | |
| Authors |
Romano Ngui, Yvonne A. L. Lim, Kek Heng Chua |
| Abstract |
Hookworm infections are still endemic in low and middle income tropical countries with greater impact on the socioeconomic and public health of the bottom billion of the world's poorest people. In this study, a real-time polymerase chain reaction (PCR) coupled with high resolution melting-curve (HRM) analysis was evaluated for an accurate, rapid and sensitive tool for species identification focusing on the five human hookworm species. |
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 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 2% |
| Switzerland | 1 | 1% |
| Malaysia | 1 | 1% |
| Kenya | 1 | 1% |
| France | 1 | 1% |
| Belgium | 1 | 1% |
| Japan | 1 | 1% |
| Unknown | 79 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 18 | 21% |
| Student > Master | 17 | 20% |
| Researcher | 11 | 13% |
| Student > Ph. D. Student | 10 | 11% |
| Professor > Associate Professor | 5 | 6% |
| Other | 13 | 15% |
| Unknown | 13 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 33 | 38% |
| Medicine and Dentistry | 13 | 15% |
| Immunology and Microbiology | 7 | 8% |
| Biochemistry, Genetics and Molecular Biology | 6 | 7% |
| Veterinary Science and Veterinary Medicine | 4 | 5% |
| Other | 10 | 11% |
| Unknown | 14 | 16% |