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Mendeley readers
Attention Score in Context
| Title |
Primer development to obtain complete coding sequence of HA and NA genes of influenza A/H3N2 virus
|
|---|---|
| Published in |
BMC Research Notes, August 2016
|
| DOI | 10.1186/s13104-016-2235-8 |
| Pubmed ID | |
| Authors |
Agustiningsih Agustiningsih, Hidayat Trimarsanto, Vivi Setiawaty, I. Made Artika, David Handojo Muljono |
| Abstract |
Influenza is an acute respiratory illness and has become a serious public health problem worldwide. The need to study the HA and NA genes in influenza A virus is essential since these genes frequently undergo mutations. This study describes the development of primer sets for RT-PCR to obtain complete coding sequence of Hemagglutinin (HA) and Neuraminidase (NA) genes of influenza A/H3N2 virus from Indonesia. The primers were developed based on influenza A/H3N2 sequence worldwide from Global Initiative on Sharing All Influenza Data (GISAID) and further tested using Indonesian influenza A/H3N2 archived samples of influenza-like illness (ILI) surveillance from 2008 to 2009. An optimum RT-PCR condition was acquired for all HA and NA fragments designed to cover complete coding sequence of HA and NA genes. A total of 71 samples were successfully sequenced for complete coding sequence both of HA and NA genes out of 145 samples of influenza A/H3N2 tested. The developed primer sets were suitable for obtaining complete coding sequences of HA and NA genes of Indonesian samples from 2008 to 2009. |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 8 | 18% |
| Student > Master | 5 | 11% |
| Researcher | 4 | 9% |
| Lecturer | 4 | 9% |
| Professor > Associate Professor | 3 | 7% |
| Other | 10 | 23% |
| Unknown | 10 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 18% |
| Nursing and Health Professions | 5 | 11% |
| Agricultural and Biological Sciences | 4 | 9% |
| Medicine and Dentistry | 3 | 7% |
| Unspecified | 2 | 5% |
| Other | 10 | 23% |
| Unknown | 12 | 27% |
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 04 September 2016.
All research outputs
#20,340,423
of 22,886,568 outputs
Outputs from BMC Research Notes
#3,565
of 4,270 outputs
Outputs of similar age
#293,961
of 336,871 outputs
Outputs of similar age from BMC Research Notes
#62
of 76 outputs
Altmetric has tracked 22,886,568 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,270 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 336,871 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 76 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.