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Mendeley readers
Attention Score in Context
| Title |
Computing Ka and Ks with a consideration of unequal transitional substitutions
|
|---|---|
| Published in |
BMC Ecology and Evolution, June 2006
|
| DOI | 10.1186/1471-2148-6-44 |
| Pubmed ID | |
| Authors |
Zhang Zhang, Jun Li, Jun Yu |
| Abstract |
Approximate methods for estimating nonsynonymous and synonymous substitution rates (Ka and Ks) among protein-coding sequences have adopted different mutation (substitution) models. In the past two decades, several methods have been proposed but they have not considered unequal transitional substitutions (between the two purines, A and G, or the two pyrimidines, T and C) that become apparent when sequences data to be compared are vast and significantly diverged. |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 5% |
| Germany | 2 | 3% |
| France | 1 | 2% |
| Indonesia | 1 | 2% |
| Spain | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 57 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 23% |
| Student > Ph. D. Student | 11 | 17% |
| Student > Master | 11 | 17% |
| Professor | 6 | 9% |
| Professor > Associate Professor | 6 | 9% |
| Other | 12 | 18% |
| Unknown | 5 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 40 | 61% |
| Biochemistry, Genetics and Molecular Biology | 11 | 17% |
| Chemistry | 4 | 6% |
| Medicine and Dentistry | 3 | 5% |
| Computer Science | 2 | 3% |
| Other | 2 | 3% |
| Unknown | 4 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 16 November 2014.
All research outputs
#8,535,684
of 25,374,917 outputs
Outputs from BMC Ecology and Evolution
#1,997
of 3,714 outputs
Outputs of similar age
#30,038
of 88,101 outputs
Outputs of similar age from BMC Ecology and Evolution
#4
of 10 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,714 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 35th percentile – i.e., 35% 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 88,101 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.