| Title |
IMPACTing SHOP: Putting an AI Planner Into a Multi-Agent Environment
|
|---|---|
| Published in |
Annals of Mathematics and Artificial Intelligence, April 2003
|
| DOI | 10.1023/a:1021560510377 |
| Authors |
Jürgen Dix, Héctor Muñoz-Avila, Dana S. Nau, Lingling Zhang |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 12% |
| Czechia | 1 | 3% |
| France | 1 | 3% |
| Canada | 1 | 3% |
| Unknown | 26 | 79% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 30% |
| Professor > Associate Professor | 5 | 15% |
| Professor | 4 | 12% |
| Researcher | 4 | 12% |
| Student > Bachelor | 2 | 6% |
| Other | 5 | 15% |
| Unknown | 3 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 22 | 67% |
| Engineering | 2 | 6% |
| Philosophy | 1 | 3% |
| Business, Management and Accounting | 1 | 3% |
| Unspecified | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 4 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 18 March 2015.
All research outputs
#8,535,684
of 25,374,917 outputs
Outputs from Annals of Mathematics and Artificial Intelligence
#29
of 149 outputs
Outputs of similar age
#20,903
of 63,302 outputs
Outputs of similar age from Annals of Mathematics and Artificial Intelligence
#2
of 4 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 149 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
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 63,302 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.