| Title |
Detection, isolation, and characterization of chikungunya viruses associated with the Pakistan outbreak of 2016–2017
|
|---|---|
| Published in |
Virologica Sinica, December 2017
|
| DOI | 10.1007/s12250-017-4059-7 |
| Pubmed ID | |
| Authors |
Si-Qing Liu, Xiao Li, Ya-Nan Zhang, Ai-Li Gao, Cheng-Lin Deng, Jun-Hua Li, Shoukat Jehan, Nadia Jamil, Fei Deng, Hongping Wei, Bo Zhang |
| Abstract |
The chikungunya virus (CHIKV) is a mosquito-transmitted alphavirus, which has infected millions of people in Africa, Asia, Americas, and Europe since it reemerged in India and Indian Ocean regions in 2005-2006. Starting in the middle of November 2016, CHIKV has been widely spread, and more than 4,000 cases of infections in humans were confirmed in Pakistan. Here, we report the first isolation and characterization of CHIKV from the Pakistan outbreak. Eight CHIKV strains were newly isolated from human serum samples using a cell culture procedure. A full-length genome sequence and eight complete envelope (E1) sequences of CHIKV from Pakistan were obtained in this study. Alignment of the CHIKV E1 sequences revealed that the eight new CHIKV isolates were highly homogeneous, with only two nonsynonymous substitutions found at generally conserved sites (E99 and Q235). Based on the comparison of 342 E1 sequences, the two nonsynonymous mutations were located in well-recognized domains associated with viral functions such as the cell fusion and vector specificity, suggesting their potential functional importance. Phylogenetic analysis indicated that the CHIKV strains from Pakistan originated from CHIKV circulating in the Indian region. This study helps elucidate the epidemics of CHIKV in Pakistan and also provides a foundation for studies of evolution and expansion of CHIKV in South Asia. |
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 % |
|---|---|---|
| Unknown | 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 16% |
| Student > Doctoral Student | 6 | 13% |
| Unspecified | 3 | 7% |
| Student > Bachelor | 3 | 7% |
| Other | 3 | 7% |
| Other | 10 | 22% |
| Unknown | 13 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 18% |
| Biochemistry, Genetics and Molecular Biology | 5 | 11% |
| Immunology and Microbiology | 4 | 9% |
| Unspecified | 3 | 7% |
| Medicine and Dentistry | 3 | 7% |
| Other | 5 | 11% |
| Unknown | 17 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 01 September 2020.
All research outputs
#4,028,412
of 23,015,156 outputs
Outputs from Virologica Sinica
#81
of 578 outputs
Outputs of similar age
#87,358
of 440,666 outputs
Outputs of similar age from Virologica Sinica
#1
of 3 outputs
Altmetric has tracked 23,015,156 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 578 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one has done well, scoring higher than 85% of its peers.
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 440,666 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them