| Title |
Mechanisms of viral mutation
|
|---|---|
| Published in |
Cellular and Molecular Life Sciences, July 2016
|
| DOI | 10.1007/s00018-016-2299-6 |
| Pubmed ID | |
| Authors |
Rafael Sanjuán, Pilar Domingo-Calap |
| Abstract |
The remarkable capacity of some viruses to adapt to new hosts and environments is highly dependent on their ability to generate de novo diversity in a short period of time. Rates of spontaneous mutation vary amply among viruses. RNA viruses mutate faster than DNA viruses, single-stranded viruses mutate faster than double-strand virus, and genome size appears to correlate negatively with mutation rate. Viral mutation rates are modulated at different levels, including polymerase fidelity, sequence context, template secondary structure, cellular microenvironment, replication mechanisms, proofreading, and access to post-replicative repair. Additionally, massive numbers of mutations can be introduced by some virus-encoded diversity-generating elements, as well as by host-encoded cytidine/adenine deaminases. Our current knowledge of viral mutation rates indicates that viral genetic diversity is determined by multiple virus- and host-dependent processes, and that viral mutation rates can evolve in response to specific selective pressures. |
X Demographics
The data shown below were collected from the profiles of 299 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 60 | 20% |
| United Kingdom | 9 | 3% |
| Canada | 7 | 2% |
| Colombia | 6 | 2% |
| Australia | 5 | 2% |
| India | 4 | 1% |
| Indonesia | 3 | 1% |
| Netherlands | 3 | 1% |
| Puerto Rico | 1 | <1% |
| Other | 19 | 6% |
| Unknown | 182 | 61% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 268 | 90% |
| Scientists | 14 | 5% |
| Practitioners (doctors, other healthcare professionals) | 12 | 4% |
| Science communicators (journalists, bloggers, editors) | 5 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,180 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | <1% |
| Germany | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 1177 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 197 | 17% |
| Student > Ph. D. Student | 154 | 13% |
| Student > Master | 141 | 12% |
| Researcher | 100 | 8% |
| Student > Doctoral Student | 65 | 6% |
| Other | 127 | 11% |
| Unknown | 396 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 264 | 22% |
| Agricultural and Biological Sciences | 149 | 13% |
| Immunology and Microbiology | 81 | 7% |
| Medicine and Dentistry | 67 | 6% |
| Chemistry | 28 | 2% |
| Other | 163 | 14% |
| Unknown | 428 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 726. 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 15 February 2024.
All research outputs
#28,265
of 25,718,113 outputs
Outputs from Cellular and Molecular Life Sciences
#1
of 5,937 outputs
Outputs of similar age
#507
of 372,000 outputs
Outputs of similar age from Cellular and Molecular Life Sciences
#1
of 50 outputs
Altmetric has tracked 25,718,113 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,937 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done particularly well, scoring higher than 99% of its peers.
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