| Title |
A Realistic Model Under Which the Genetic Code is Optimal
|
|---|---|
| Published in |
Journal of Molecular Evolution, October 2013
|
| DOI | 10.1007/s00239-013-9571-2 |
| Pubmed ID | |
| Authors |
Harry Buhrman, Peter T. S. van der Gulik, Gunnar W. Klau, Christian Schaffner, Dave Speijer, Leen Stougie |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hungary | 1 | 3% |
| Germany | 1 | 3% |
| Netherlands | 1 | 3% |
| Italy | 1 | 3% |
| China | 1 | 3% |
| United States | 1 | 3% |
| Unknown | 33 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 26% |
| Student > Ph. D. Student | 7 | 18% |
| Student > Master | 7 | 18% |
| Other | 4 | 10% |
| Professor | 3 | 8% |
| Other | 6 | 15% |
| Unknown | 2 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 33% |
| Biochemistry, Genetics and Molecular Biology | 10 | 26% |
| Computer Science | 4 | 10% |
| Medicine and Dentistry | 3 | 8% |
| Physics and Astronomy | 3 | 8% |
| Other | 3 | 8% |
| Unknown | 3 | 8% |
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 19 September 2013.
All research outputs
#17,696,782
of 22,721,584 outputs
Outputs from Journal of Molecular Evolution
#1,232
of 1,435 outputs
Outputs of similar age
#148,206
of 207,102 outputs
Outputs of similar age from Journal of Molecular Evolution
#5
of 8 outputs
Altmetric has tracked 22,721,584 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,435 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 11th percentile – i.e., 11% 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 207,102 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.