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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Pattern-Oriented Modeling of Agent-Based Complex Systems: Lessons from Ecology
|
|---|---|
| Published in |
Science, November 2005
|
| DOI | 10.1126/science.1116681 |
| Pubmed ID | |
| Authors |
Volker Grimm, Eloy Revilla, Uta Berger, Florian Jeltsch, Wolf M. Mooij, Steven F. Railsback, Hans-Hermann Thulke, Jacob Weiner, Thorsten Wiegand, Donald L. DeAngelis |
| Abstract |
Agent-based complex systems are dynamic networks of many interacting agents; examples include ecosystems, financial markets, and cities. The search for general principles underlying the internal organization of such systems often uses bottom-up simulation models such as cellular automata and agent-based models. No general framework for designing, testing, and analyzing bottom-up models has yet been established, but recent advances in ecological modeling have come together in a general strategy we call pattern-oriented modeling. This strategy provides a unifying framework for decoding the internal organization of agent-based complex systems and may lead toward unifying algorithmic theories of the relation between adaptive behavior and system complexity. |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 30% |
| Taiwan | 1 | 10% |
| Canada | 1 | 10% |
| Switzerland | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 60% |
| Scientists | 4 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 2,529 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 72 | 3% |
| United Kingdom | 27 | 1% |
| France | 15 | <1% |
| Canada | 15 | <1% |
| Brazil | 13 | <1% |
| Germany | 11 | <1% |
| Spain | 11 | <1% |
| Australia | 9 | <1% |
| Netherlands | 7 | <1% |
| Other | 73 | 3% |
| Unknown | 2276 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 663 | 26% |
| Researcher | 553 | 22% |
| Student > Master | 295 | 12% |
| Student > Doctoral Student | 133 | 5% |
| Student > Bachelor | 124 | 5% |
| Other | 456 | 18% |
| Unknown | 305 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 693 | 27% |
| Environmental Science | 500 | 20% |
| Computer Science | 146 | 6% |
| Engineering | 137 | 5% |
| Social Sciences | 136 | 5% |
| Other | 486 | 19% |
| Unknown | 431 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 35. 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 24 October 2023.
All research outputs
#1,167,635
of 25,837,817 outputs
Outputs from Science
#20,726
of 83,358 outputs
Outputs of similar age
#1,676
of 77,585 outputs
Outputs of similar age from Science
#38
of 298 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 83,358 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 65.9. This one has done well, scoring higher than 75% 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 77,585 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 97% of its contemporaries.
We're also able to compare this research output to 298 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.