Title |
Agent-based computing from multi-agent systems to agent-based models: a visual survey
|
---|---|
Published in |
Scientometrics, August 2011
|
DOI | 10.1007/s11192-011-0468-9 |
Authors |
Muaz Niazi, Amir Hussain |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 13% |
Unknown | 7 | 88% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 75% |
Science communicators (journalists, bloggers, editors) | 1 | 13% |
Scientists | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 527 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 7 | 1% |
Germany | 4 | <1% |
United States | 4 | <1% |
France | 3 | <1% |
Portugal | 3 | <1% |
Brazil | 2 | <1% |
Malaysia | 2 | <1% |
Spain | 2 | <1% |
Norway | 1 | <1% |
Other | 8 | 2% |
Unknown | 491 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 155 | 29% |
Student > Master | 99 | 19% |
Researcher | 58 | 11% |
Student > Bachelor | 34 | 6% |
Student > Doctoral Student | 27 | 5% |
Other | 80 | 15% |
Unknown | 74 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 151 | 29% |
Engineering | 84 | 16% |
Business, Management and Accounting | 31 | 6% |
Social Sciences | 26 | 5% |
Environmental Science | 20 | 4% |
Other | 125 | 24% |
Unknown | 90 | 17% |
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 07 October 2023.
All research outputs
#3,396,800
of 24,319,828 outputs
Outputs from Scientometrics
#674
of 2,815 outputs
Outputs of similar age
#16,797
of 123,026 outputs
Outputs of similar age from Scientometrics
#4
of 23 outputs
Altmetric has tracked 24,319,828 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,815 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. 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 123,026 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 86% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.