You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Attention Score in Context
| Title |
Intelligent Agents and Multi-Agent Systems
|
|---|---|
| Published by |
Lecture notes in computer science, January 2005
|
| DOI | 10.1007/b107183 |
| ISBNs |
978-3-54-025340-2, 978-3-54-032128-6
|
| Editors |
Michael Wayne Barley, Nik Kasabov |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 03 November 2016.
All research outputs
#6,020,454
of 22,899,952 outputs
Outputs from Lecture notes in computer science
#1,972
of 8,128 outputs
Outputs of similar age
#28,239
of 139,944 outputs
Outputs of similar age from Lecture notes in computer science
#38
of 132 outputs
Altmetric has tracked 22,899,952 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 8,128 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 75% 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 139,944 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 79% of its contemporaries.
We're also able to compare this research output to 132 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.