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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Phylodynamic reconstruction of the spatiotemporal transmission and demographic history of coxsackievirus B2
|
|---|---|
| Published in |
BMC Bioinformatics, September 2015
|
| DOI | 10.1186/s12859-015-0738-2 |
| Pubmed ID | |
| Authors |
Hui-Wen Huang, Yao-Shen Chen, Jeff Yi-Fu Chen, Po-Liang Lu, Yung-Cheng Lin, Bao-Chen Chen, Li-Chiu Chou, Chu-Feng Wang, Hui-Ju Su, Yi-Chien Huang, Yong-Ying Shi, Hsiu-Lin Chen, Bintou Sanno-Duanda, Tsi-Shu Huang, Kuei-Hsiang Lin, Yu-Chang Tyan, Pei-Yu Chu |
| Abstract |
Studies regarding coxsackievirus (CV) tend to focus on epidemic outbreaks, an imbalanced topology is considered to be an indication of acute infection with partial cross-immunity. In enteroviruses, a clear understanding of the characteristics of tree topology, transmission, and its demographic dynamics in viral succession and circulation are essential for identifying prevalence trends in endemic pathogens such as coxsackievirus B2 (CV-B2). This study applied a novel Bayesian evolutionary approach to elucidate the phylodynamic characteristics of CV-B2. A dataset containing 51 VP1 sequences and a dataset containing 34 partial 3D(pol) sequencing were analyzed, where each dataset included Taiwan sequences isolated during 1988-2013. Four and five genotypes were determined based on the 846-nucleotide VP1 and 441-nucleotide 3D(pol) (6641-7087) regions, respectively, with spatiotemporally structured topologies in both trees. Some strains with tree discordance indicated the occurrence of recombination in the region between the VP1 and 3D(pol) genes. The similarities of VP1 and 3D(pol) gene were 80.0 %-96.8 % and 74.7 %-91.9 %, respectively. Analyses of population dynamics using VP1 dataset indicated that the endemic CV-B2 has a small effective population size. The balance indices, high similarity, and low evolutionary rate in the VP1 region indicated mild herd immunity selection in the major capsid region. Phylodynamic analysis can reveal demographic trends and herd immunity in endemic pathogens. |
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 % |
|---|---|---|
| New Zealand | 1 | 33% |
| Italy | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 24% |
| Researcher | 3 | 18% |
| Professor | 2 | 12% |
| Student > Ph. D. Student | 2 | 12% |
| Student > Doctoral Student | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 4 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 2 | 12% |
| Psychology | 2 | 12% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Chemical Engineering | 1 | 6% |
| Other | 4 | 24% |
| Unknown | 6 | 35% |
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 24 September 2015.
All research outputs
#15,347,611
of 22,829,083 outputs
Outputs from BMC Bioinformatics
#5,375
of 7,287 outputs
Outputs of similar age
#160,518
of 274,256 outputs
Outputs of similar age from BMC Bioinformatics
#107
of 149 outputs
Altmetric has tracked 22,829,083 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,287 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 18th percentile – i.e., 18% 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 274,256 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 149 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.