| Title |
Establishing a laboratory network of influenza diagnosis in Indonesia: an experience from the avian flu (H5N1) outbreak
|
|---|---|
| Published in |
Clinical Epidemiology, August 2012
|
| DOI | 10.2147/clep.s31004 |
| Pubmed ID | |
| Authors |
Vivi Setiawaty, Krisna NA Pangesti, Ondri D Sampurno |
| Abstract |
Indonesia has been part of the global influenza surveillance since the establishment of a National Influenza Center (NIC) at the National Institute of Health Research and Development (NIHRD) by the Indonesian Ministry of Health in 1975. When the outbreak of avian influenza A (H5N1) occurred, the NIC and US Naval Medical Research Unit 2 were the only diagnostic laboratories equipped for etiology confirmation. The large geographical area of the Republic of Indonesia poses a real challenge to provide prompt and accurate diagnosis nationally. This was the main reason to establish a laboratory network for H5N1 diagnosis in Indonesia. Currently, 44 laboratories have been included in the network capable of performing polymerase chain reaction testing for influenza A. Diagnostic equipment and standard procedures of biosafety and biosecurity of handling specimens have been adopted largely from World Health Organization recommendations. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | 4% |
| Denmark | 1 | 4% |
| Unknown | 25 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 30% |
| Student > Master | 5 | 19% |
| Student > Bachelor | 3 | 11% |
| Professor | 2 | 7% |
| Librarian | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 5 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 4 | 15% |
| Medicine and Dentistry | 4 | 15% |
| Agricultural and Biological Sciences | 4 | 15% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Nursing and Health Professions | 2 | 7% |
| Other | 7 | 26% |
| Unknown | 4 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 17 March 2020.
All research outputs
#2,826,052
of 25,584,565 outputs
Outputs from Clinical Epidemiology
#120
of 780 outputs
Outputs of similar age
#18,205
of 179,468 outputs
Outputs of similar age from Clinical Epidemiology
#2
of 9 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 780 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one has done well, scoring higher than 84% of its peers.
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We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.