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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Optimality of the genetic code with respect to protein stability and amino-acid frequencies
|
|---|---|
| Published in |
Genome Biology, October 2001
|
| DOI | 10.1186/gb-2001-2-11-research0049 |
| Pubmed ID | |
| Authors |
Dimitri Gilis, Serge Massar, Nicolas J Cerf, Marianne Rooman |
| Abstract |
The genetic code is known to be efficient in limiting the effect of mistranslation errors. A misread codon often codes for the same amino acid or one with similar biochemical properties, so the structure and function of the coded protein remain relatively unaltered. Previous studies have attempted to address this question quantitatively, by estimating the fraction of randomly generated codes that do better than the genetic code in respect of overall robustness. We extended these results by investigating the role of amino-acid frequencies in the optimality of the genetic code. |
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 % |
|---|---|---|
| Canada | 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 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Poland | 2 | 1% |
| Netherlands | 1 | <1% |
| France | 1 | <1% |
| Austria | 1 | <1% |
| Switzerland | 1 | <1% |
| Belgium | 1 | <1% |
| United Kingdom | 1 | <1% |
| Croatia | 1 | <1% |
| United States | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 131 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 44 | 31% |
| Researcher | 21 | 15% |
| Student > Master | 19 | 13% |
| Professor > Associate Professor | 11 | 8% |
| Student > Bachelor | 9 | 6% |
| Other | 15 | 11% |
| Unknown | 22 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 38 | 27% |
| Chemistry | 32 | 23% |
| Biochemistry, Genetics and Molecular Biology | 15 | 11% |
| Physics and Astronomy | 8 | 6% |
| Engineering | 7 | 5% |
| Other | 17 | 12% |
| Unknown | 24 | 17% |
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 26 April 2023.
All research outputs
#17,302,400
of 25,394,764 outputs
Outputs from Genome Biology
#4,097
of 4,470 outputs
Outputs of similar age
#41,613
of 45,727 outputs
Outputs of similar age from Genome Biology
#16
of 19 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 5th percentile – i.e., 5% 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 45,727 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.