| Title |
The Structure of Autocatalytic Sets: Evolvability, Enablement, and Emergence
|
|---|---|
| Published in |
Acta Biotheoretica, September 2012
|
| DOI | 10.1007/s10441-012-9165-1 |
| Pubmed ID | |
| Authors |
Wim Hordijk, Mike Steel, Stuart Kauffman |
| Abstract |
This paper presents new results from a detailed study of the structure of autocatalytic sets. We show how autocatalytic sets can be decomposed into smaller autocatalytic subsets, and how these subsets can be identified and classified. We then argue how this has important consequences for the evolvability, enablement, and emergence of autocatalytic sets. We end with some speculation on how all this might lead to a generalized theory of autocatalytic sets, which could possibly be applied to entire ecologies or even economies. |
Mendeley readers
The data shown below were compiled from readership statistics for 167 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 5% |
| United Kingdom | 4 | 2% |
| France | 2 | 1% |
| Canada | 2 | 1% |
| Vietnam | 1 | <1% |
| Australia | 1 | <1% |
| Brazil | 1 | <1% |
| Colombia | 1 | <1% |
| Germany | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 143 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 38 | 23% |
| Researcher | 38 | 23% |
| Student > Master | 18 | 11% |
| Student > Bachelor | 16 | 10% |
| Other | 12 | 7% |
| Other | 31 | 19% |
| Unknown | 14 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 39 | 23% |
| Physics and Astronomy | 22 | 13% |
| Computer Science | 20 | 12% |
| Chemistry | 12 | 7% |
| Mathematics | 9 | 5% |
| Other | 45 | 27% |
| Unknown | 20 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 18 September 2017.
All research outputs
#2,319,447
of 25,374,917 outputs
Outputs from Acta Biotheoretica
#14
of 213 outputs
Outputs of similar age
#15,736
of 191,380 outputs
Outputs of similar age from Acta Biotheoretica
#1
of 1 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 213 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done particularly well, scoring higher than 93% 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 191,380 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 91% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them