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Attention Score in Context
| Title |
Trends in substitution models of molecular evolution
|
|---|---|
| Published in |
Frontiers in Genetics, October 2015
|
| DOI | 10.3389/fgene.2015.00319 |
| Pubmed ID | |
| Authors |
Miguel Arenas |
| Abstract |
Substitution models of evolution describe the process of genetic variation through fixed mutations and constitute the basis of the evolutionary analysis at the molecular level. Almost 40 years after the development of first substitution models, highly sophisticated, and data-specific substitution models continue emerging with the aim of better mimicking real evolutionary processes. Here I describe current trends in substitution models of DNA, codon and amino acid sequence evolution, including advantages and pitfalls of the most popular models. The perspective concludes that despite the large number of currently available substitution models, further research is required for more realistic modeling, especially for DNA coding and amino acid data. Additionally, the development of more accurate complex models should be coupled with new implementations and improvements of methods and frameworks for substitution model selection and downstream evolutionary analysis. |
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 | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 384 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | <1% |
| Spain | 1 | <1% |
| Russia | 1 | <1% |
| France | 1 | <1% |
| Unknown | 380 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 71 | 18% |
| Student > Ph. D. Student | 69 | 18% |
| Student > Bachelor | 61 | 16% |
| Researcher | 42 | 11% |
| Student > Doctoral Student | 17 | 4% |
| Other | 55 | 14% |
| Unknown | 69 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 124 | 32% |
| Biochemistry, Genetics and Molecular Biology | 118 | 31% |
| Computer Science | 14 | 4% |
| Environmental Science | 10 | 3% |
| Immunology and Microbiology | 10 | 3% |
| Other | 32 | 8% |
| Unknown | 76 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 18 July 2022.
All research outputs
#6,306,952
of 22,880,230 outputs
Outputs from Frontiers in Genetics
#1,880
of 11,919 outputs
Outputs of similar age
#79,286
of 284,458 outputs
Outputs of similar age from Frontiers in Genetics
#13
of 58 outputs
Altmetric has tracked 22,880,230 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 11,919 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 83% 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 284,458 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.