| Title |
Multi-Agent Foraging: state-of-the-art and research challenges
|
|---|---|
| Published in |
Complex Adaptive Systems Modeling, February 2017
|
| DOI | 10.1186/s40294-016-0041-8 |
| Authors |
Ouarda Zedadra, Nicolas Jouandeau, Hamid Seridi, Giancarlo Fortino |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 64 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 27% |
| Student > Master | 14 | 22% |
| Student > Bachelor | 6 | 9% |
| Researcher | 4 | 6% |
| Student > Doctoral Student | 3 | 5% |
| Other | 6 | 9% |
| Unknown | 14 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 19 | 30% |
| Engineering | 18 | 28% |
| Agricultural and Biological Sciences | 2 | 3% |
| Mathematics | 1 | 2% |
| Business, Management and Accounting | 1 | 2% |
| Other | 7 | 11% |
| Unknown | 16 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 25 January 2019.
All research outputs
#2,357,353
of 22,955,959 outputs
Outputs from Complex Adaptive Systems Modeling
#3
of 79 outputs
Outputs of similar age
#52,190
of 420,339 outputs
Outputs of similar age from Complex Adaptive Systems Modeling
#1
of 3 outputs
Altmetric has tracked 22,955,959 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 79 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 96% 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 420,339 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 87% of its contemporaries.
We're also able to compare this research output to 3 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