| Title |
A multi-agent based framework for the simulation of human and social behaviors during emergency evacuations
|
|---|---|
| Published in |
AI & SOCIETY, June 2007
|
| DOI | 10.1007/s00146-007-0126-1 |
| Authors |
Xiaoshan Pan, Charles S. Han, Ken Dauber, Kincho H. Law |
X Demographics
The data shown below were collected from the profiles of 6 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 | 2 | 33% |
| Bosnia and Herzegovina | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 408 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 2% |
| Malaysia | 2 | <1% |
| Japan | 2 | <1% |
| Iran, Islamic Republic of | 2 | <1% |
| Switzerland | 1 | <1% |
| Netherlands | 1 | <1% |
| Indonesia | 1 | <1% |
| Colombia | 1 | <1% |
| Ireland | 1 | <1% |
| Other | 13 | 3% |
| Unknown | 376 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 131 | 32% |
| Student > Master | 80 | 20% |
| Researcher | 32 | 8% |
| Student > Bachelor | 32 | 8% |
| Professor > Associate Professor | 19 | 5% |
| Other | 51 | 13% |
| Unknown | 63 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 119 | 29% |
| Computer Science | 110 | 27% |
| Social Sciences | 15 | 4% |
| Business, Management and Accounting | 14 | 3% |
| Psychology | 14 | 3% |
| Other | 57 | 14% |
| Unknown | 79 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 11 August 2022.
All research outputs
#4,144,816
of 25,081,419 outputs
Outputs from AI & SOCIETY
#189
of 789 outputs
Outputs of similar age
#11,849
of 75,976 outputs
Outputs of similar age from AI & SOCIETY
#1
of 7 outputs
Altmetric has tracked 25,081,419 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 789 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one has done well, scoring higher than 76% 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 75,976 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 7 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