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Mendeley readers
Attention Score in Context
| Chapter title |
Advances in Practical Applications of Scalable Multi-agent Systems. The PAAMS Collection
|
|---|---|
| Chapter number | 5 |
| Book title |
Advances in Practical Applications of Scalable Multi-agent Systems. The PAAMS Collection
|
| Published in |
Lecture notes in computer science, June 2016
|
| DOI | 10.1007/978-3-319-39324-7_5 |
| Book ISBNs |
978-3-31-939323-0, 978-3-31-939324-7
|
| Authors |
Guillaume Desquesnes, Guillaume Lozenguez, Arnaud Doniec, Eric Duviella, Desquesnes, Guillaume, Lozenguez, Guillaume, Doniec, Arnaud, Duviella, Eric |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Turkey | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 1 | 33% |
| Student > Master | 1 | 33% |
| Unknown | 1 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Earth and Planetary Sciences | 1 | 33% |
| Engineering | 1 | 33% |
| Unknown | 1 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 17 June 2016.
All research outputs
#4,191,330
of 22,877,793 outputs
Outputs from Lecture notes in computer science
#989
of 8,130 outputs
Outputs of similar age
#74,680
of 352,647 outputs
Outputs of similar age from Lecture notes in computer science
#30
of 351 outputs
Altmetric has tracked 22,877,793 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,130 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 82% 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 352,647 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 77% of its contemporaries.
We're also able to compare this research output to 351 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.