| Title |
Formal models and algorithms for decentralized decision making under uncertainty
|
|---|---|
| Published in |
Autonomous Agents and Multi-Agent Systems, February 2008
|
| DOI | 10.1007/s10458-007-9026-5 |
| Authors |
Sven Seuken, Shlomo Zilberstein |
Mendeley readers
The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 6% |
| Germany | 1 | <1% |
| Netherlands | 1 | <1% |
| France | 1 | <1% |
| Portugal | 1 | <1% |
| New Zealand | 1 | <1% |
| Canada | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Romania | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 108 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 48 | 39% |
| Student > Master | 23 | 19% |
| Researcher | 15 | 12% |
| Professor | 6 | 5% |
| Student > Bachelor | 6 | 5% |
| Other | 13 | 11% |
| Unknown | 12 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 49 | 40% |
| Engineering | 41 | 33% |
| Economics, Econometrics and Finance | 5 | 4% |
| Mathematics | 3 | 2% |
| Business, Management and Accounting | 3 | 2% |
| Other | 8 | 7% |
| Unknown | 14 | 11% |
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 15 January 2022.
All research outputs
#2,423,178
of 23,849,058 outputs
Outputs from Autonomous Agents and Multi-Agent Systems
#4
of 246 outputs
Outputs of similar age
#9,700
of 162,350 outputs
Outputs of similar age from Autonomous Agents and Multi-Agent Systems
#1
of 5 outputs
Altmetric has tracked 23,849,058 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 246 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done particularly well, scoring higher than 98% 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 162,350 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 93% of its contemporaries.
We're also able to compare this research output to 5 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