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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Extensive recoding of dengue virus type 2 specifically reduces replication in primate cells without gain-of-function in Aedes aegypti mosquitoes
|
|---|---|
| Published in |
PLOS ONE, September 2018
|
| DOI | 10.1371/journal.pone.0198303 |
| Pubmed ID | |
| Authors |
Charles B. Stauft, Sam H. Shen, Yutong Song, Oleksandr Gorbatsevych, Emmanuel Asare, Bruce Futcher, Steffen Mueller, Anne Payne, Matthew Brecher, Laura Kramer, Eckard Wimmer |
| Abstract |
Dengue virus (DENV), an arthropod-borne ("arbovirus") virus, causes a range of human maladies ranging from self-limiting dengue fever to the life-threatening dengue shock syndrome and proliferates well in two different taxa of the Animal Kingdom, mosquitoes and primates. Mosquitoes and primates show taxonomic group-specific intolerance to certain codon pairs when expressing their genes by translation. This is called "codon pair bias". By necessity, dengue viruses evolved to delicately balance this fundamental difference in their open reading frames (ORFs). We have undone the evolutionarily conserved genomic balance in the DENV2 ORF sequence and specifically shifted the encoding preference away from primates. However, this recoding of DENV2 raised concerns of 'gain-of-function,' namely whether recoding could inadvertently increase fitness for replication in the arthropod vector. Using mosquito cell lines and two strains of Aedes aegypti we did not observe any increase in fitness in DENV2 variants codon pair deoptimized for humans. This ability to disrupt and control DENV2's host preference has great promise towards developing the next generation of synthetic vaccines not only for DENV but for other emerging arboviral pathogens such as chikungunya virus and Zika virus. |
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 % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 18% |
| Student > Bachelor | 9 | 18% |
| Student > Doctoral Student | 5 | 10% |
| Student > Master | 5 | 10% |
| Other | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 15 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 20% |
| Agricultural and Biological Sciences | 6 | 12% |
| Medicine and Dentistry | 4 | 8% |
| Immunology and Microbiology | 4 | 8% |
| Arts and Humanities | 2 | 4% |
| Other | 8 | 16% |
| Unknown | 16 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 08 September 2018.
All research outputs
#14,424,488
of 23,103,436 outputs
Outputs from PLOS ONE
#118,893
of 197,129 outputs
Outputs of similar age
#188,656
of 336,158 outputs
Outputs of similar age from PLOS ONE
#1,936
of 3,405 outputs
Altmetric has tracked 23,103,436 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 197,129 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.2. This one is in the 36th percentile – i.e., 36% 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 336,158 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3,405 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.