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Mendeley readers
Attention Score in Context
| Title |
Neutral network sizes of biological RNA molecules can be computed and are not atypically small
|
|---|---|
| Published in |
BMC Bioinformatics, October 2008
|
| DOI | 10.1186/1471-2105-9-464 |
| Pubmed ID | |
| Authors |
Thomas Jörg, Olivier C Martin, Andreas Wagner |
| Abstract |
Neutral networks or sets consist of all genotypes with a given phenotype. The size and structure of these sets has a strong influence on a biological system's robustness to mutations, and on its evolvability, the ability to produce phenotypic variation; in the few studied cases of molecular phenotypes, the larger this set, the greater both robustness and evolvability of phenotypes. Unfortunately, any one neutral set contains generally only a tiny fraction of genotype space. Thus, current methods cannot measure neutral set sizes accurately, except in the smallest genotype spaces. |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 2 | 4% |
| Germany | 2 | 4% |
| Portugal | 1 | 2% |
| United Kingdom | 1 | 2% |
| Spain | 1 | 2% |
| Unknown | 48 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 29% |
| Student > Ph. D. Student | 11 | 20% |
| Student > Bachelor | 6 | 11% |
| Professor | 4 | 7% |
| Other | 3 | 5% |
| Other | 6 | 11% |
| Unknown | 9 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 19 | 35% |
| Biochemistry, Genetics and Molecular Biology | 8 | 15% |
| Physics and Astronomy | 5 | 9% |
| Engineering | 3 | 5% |
| Computer Science | 2 | 4% |
| Other | 6 | 11% |
| Unknown | 12 | 22% |
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 05 July 2011.
All research outputs
#15,238,442
of 22,656,971 outputs
Outputs from BMC Bioinformatics
#5,353
of 7,236 outputs
Outputs of similar age
#77,643
of 91,589 outputs
Outputs of similar age from BMC Bioinformatics
#40
of 49 outputs
Altmetric has tracked 22,656,971 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,236 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 18th percentile – i.e., 18% 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 91,589 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.