| Title |
Diagnostic work-up and loss of tuberculosis suspects in Jogjakarta, Indonesia
|
|---|---|
| Published in |
BMC Public Health, February 2012
|
| DOI | 10.1186/1471-2458-12-132 |
| Pubmed ID | |
| Authors |
Riris Andono Ahmad, Francine Matthys, Bintari Dwihardiani, Ning Rintiswati, Sake J de Vlas, Yodi Mahendradhata, Patrick van der Stuyft |
| Abstract |
Early and accurate diagnosis of pulmonary tuberculosis (TB) is critical for successful TB control. To assist in the diagnosis of smear-negative pulmonary TB, the World Health Organisation (WHO) recommends the use of a diagnostic algorithm. Our study evaluated the implementation of the national tuberculosis programme's diagnostic algorithm in routine health care settings in Jogjakarta, Indonesia. The diagnostic algorithm is based on the WHO TB diagnostic algorithm, which had already been implemented in the health facilities. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | 1% |
| Australia | 1 | 1% |
| Unknown | 87 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 20 | 22% |
| Researcher | 12 | 13% |
| Student > Ph. D. Student | 10 | 11% |
| Student > Bachelor | 9 | 10% |
| Lecturer | 6 | 7% |
| Other | 18 | 20% |
| Unknown | 14 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 45 | 51% |
| Nursing and Health Professions | 9 | 10% |
| Immunology and Microbiology | 4 | 4% |
| Engineering | 3 | 3% |
| Social Sciences | 3 | 3% |
| Other | 7 | 8% |
| Unknown | 18 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 March 2012.
All research outputs
#17,655,675
of 22,663,150 outputs
Outputs from BMC Public Health
#12,349
of 14,743 outputs
Outputs of similar age
#194,250
of 250,712 outputs
Outputs of similar age from BMC Public Health
#195
of 226 outputs
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We're also able to compare this research output to 226 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.