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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
The essentials of computational molecular evolution.
|
|---|---|
| Chapter number | 4 |
| Book title |
Evolutionary Genomics
|
| Published in |
Methods in molecular biology, February 2012
|
| DOI | 10.1007/978-1-61779-582-4_4 |
| Pubmed ID | |
| Book ISBNs |
978-1-61779-581-7, 978-1-61779-582-4
|
| Authors |
Stéphane Aris-Brosou, Nicolas Rodrigue |
| Editors |
Maria Anisimova |
| Abstract |
In this chapter, we give a brief yet self-contained introduction to computational molecular evolution. In particular, we present the emergence of the use of likelihood-based methods, review the standard DNA substitution models, and introduce how model choice operates. We also present recent developments in inferring absolute dates and rates on a phylogeny and show how state-of-the-art models take inspiration from diffusion theory to link population genetics, which traditionally focuses at a taxonomic level under that of species, and molecular evolution. |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 4% |
| Colombia | 1 | 4% |
| Russia | 1 | 4% |
| Sweden | 1 | 4% |
| Unknown | 23 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 30% |
| Researcher | 8 | 30% |
| Professor | 2 | 7% |
| Other | 2 | 7% |
| Student > Master | 2 | 7% |
| Other | 4 | 15% |
| Unknown | 1 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 59% |
| Biochemistry, Genetics and Molecular Biology | 3 | 11% |
| Computer Science | 2 | 7% |
| Mathematics | 2 | 7% |
| Philosophy | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 1 | 4% |
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 14 March 2012.
All research outputs
#18,305,470
of 22,663,969 outputs
Outputs from Methods in molecular biology
#7,813
of 13,021 outputs
Outputs of similar age
#197,099
of 247,592 outputs
Outputs of similar age from Methods in molecular biology
#317
of 458 outputs
Altmetric has tracked 22,663,969 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 13,021 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 24th percentile – i.e., 24% 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 247,592 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 458 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.