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Mendeley readers
Attention Score in Context
| Title |
Mutational Pressure in Zika Virus: Local ADAR-Editing Areas Associated with Pauses in Translation and Replication
|
|---|---|
| Published in |
Frontiers in Cellular and Infection Microbiology, February 2017
|
| DOI | 10.3389/fcimb.2017.00044 |
| Pubmed ID | |
| Authors |
Vladislav V. Khrustalev, Tatyana A. Khrustaleva, Nitin Sharma, Rajanish Giri |
| Abstract |
Zika virus (ZIKV) spread led to the recent medical health emergency of international concern. Understanding the variations in virus system is of utmost need. Using available complete sequences of ZIKV we estimated directions of mutational pressure along the length of consensus sequences of three lineages of the virus. Results showed that guanine usage is growing in ZIKV RNA plus strand due to adenine to guanine transitions, while adenine usage is growing due to cytosine to adenine transversions. Especially high levels of guanine have been found in two-fold degenerated sites of certain areas of RNA plus strand with high amount of secondary structure. The usage of cytosine in two-fold degenerated sites shows direct dependence on the amount of secondary structure in 52% (consensus sequence of East African ZIKV lineage)-32% (consensus sequence of epidemic strains) of the length of RNA minus strand. These facts are the evidences of ADAR-editing of both strands of ZIKV genome during pauses in replication. RNA plus strand can also be edited by ADAR during pauses in translation caused by the appearance of groups of rare codons. According to our results, RNA minus strand of epidemic ZIKV strain has lower number of points in which polymerase can be stalled (allowing ADAR-editing) compared to other strains. The data on preferable directions of mutational pressure in epidemic ZIKV strain is useful for future vaccine development and understanding the evolution of new strains. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| Unknown | 72 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 19% |
| Student > Master | 12 | 16% |
| Student > Bachelor | 11 | 15% |
| Researcher | 10 | 14% |
| Student > Doctoral Student | 3 | 4% |
| Other | 10 | 14% |
| Unknown | 13 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 24 | 33% |
| Agricultural and Biological Sciences | 15 | 21% |
| Immunology and Microbiology | 5 | 7% |
| Nursing and Health Professions | 2 | 3% |
| Veterinary Science and Veterinary Medicine | 2 | 3% |
| Other | 8 | 11% |
| Unknown | 17 | 23% |
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 22 February 2017.
All research outputs
#18,534,624
of 22,955,959 outputs
Outputs from Frontiers in Cellular and Infection Microbiology
#4,873
of 6,462 outputs
Outputs of similar age
#238,160
of 311,194 outputs
Outputs of similar age from Frontiers in Cellular and Infection Microbiology
#89
of 118 outputs
Altmetric has tracked 22,955,959 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,462 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 6th percentile – i.e., 6% 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 311,194 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 118 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.