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Mendeley readers
Attention Score in Context
| Title |
Brief introductory guide to agent-based modeling and an illustration from urban health research
|
|---|---|
| Published in |
Cadernos de Saúde Pública, November 2015
|
| DOI | 10.1590/0102-311x00051615 |
| Pubmed ID | |
| Authors |
Amy H Auchincloss, Leandro Martin Totaro Garcia |
| Abstract |
There is growing interest among urban health researchers in addressing complex problems using conceptual and computation models from the field of complex systems. Agent-based modeling (ABM) is one computational modeling tool that has received a lot of interest. However, many researchers remain unfamiliar with developing and carrying out an ABM, hindering the understanding and application of it. This paper first presents a brief introductory guide to carrying out a simple agent-based model. Then, the method is illustrated by discussing a previously developed agent-based model, which explored inequalities in diet in the context of urban residential segregation. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 25% |
| Brazil | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 10% |
| Student > Doctoral Student | 2 | 4% |
| Professor | 2 | 4% |
| Student > Bachelor | 2 | 4% |
| Student > Master | 2 | 4% |
| Other | 1 | 2% |
| Unknown | 36 | 72% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 6% |
| Business, Management and Accounting | 2 | 4% |
| Social Sciences | 2 | 4% |
| Engineering | 2 | 4% |
| Physics and Astronomy | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 37 | 74% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 23 September 2023.
All research outputs
#3,696,926
of 25,374,647 outputs
Outputs from Cadernos de Saúde Pública
#134
of 1,855 outputs
Outputs of similar age
#49,913
of 294,815 outputs
Outputs of similar age from Cadernos de Saúde Pública
#5
of 42 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,855 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 92% 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 294,815 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 83% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.