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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evolution of complexity in RNA-like replicator systems
|
|---|---|
| Published in |
Biology Direct, March 2008
|
| DOI | 10.1186/1745-6150-3-11 |
| Pubmed ID | |
| Authors |
Nobuto Takeuchi, Paulien Hogeweg |
| Abstract |
The evolution of complexity is among the most important questions in biology. The evolution of complexity is often observed as the increase of genetic information or that of the organizational complexity of a system. It is well recognized that the formation of biological organization--be it of molecules or ecosystems--is ultimately instructed by the genetic information, whereas it is also true that the genetic information is functional only in the context of the organization. Therefore, to obtain a more complete picture of the evolution of complexity, we must study the evolution of both information and organization. |
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 % |
|---|---|---|
| Canada | 1 | 50% |
| United Kingdom | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 3% |
| Switzerland | 1 | 1% |
| Netherlands | 1 | 1% |
| Brazil | 1 | 1% |
| Austria | 1 | 1% |
| Mexico | 1 | 1% |
| Poland | 1 | 1% |
| Unknown | 72 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 23% |
| Student > Master | 10 | 13% |
| Student > Bachelor | 10 | 13% |
| Student > Ph. D. Student | 9 | 11% |
| Professor | 5 | 6% |
| Other | 14 | 18% |
| Unknown | 14 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 26 | 33% |
| Biochemistry, Genetics and Molecular Biology | 13 | 16% |
| Physics and Astronomy | 6 | 8% |
| Computer Science | 4 | 5% |
| Chemistry | 3 | 4% |
| Other | 12 | 15% |
| Unknown | 16 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 28 November 2014.
All research outputs
#2,953,480
of 25,371,288 outputs
Outputs from Biology Direct
#115
of 537 outputs
Outputs of similar age
#9,149
of 95,694 outputs
Outputs of similar age from Biology Direct
#2
of 5 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 537 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has done well, scoring higher than 78% of its peers.
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 95,694 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 5 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.