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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Learning in BDI Multi-agent Systems
|
|---|---|
| Chapter number | 12 |
| Book title |
Computational Logic in Multi-Agent Systems
|
| Published in |
Lecture notes in computer science, January 2004
|
| DOI | 10.1007/978-3-540-30200-1_12 |
| Book ISBNs |
978-3-54-024010-5, 978-3-54-030200-1
|
| Authors |
Alejandro Guerra-Hernández, Amal El Fallah-Seghrouchni, Henry Soldano, Guerra-Hernández, Alejandro, El Fallah-Seghrouchni, Amal, Soldano, Henry |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 4 | 3% |
| United Kingdom | 4 | 3% |
| Portugal | 3 | 2% |
| United States | 3 | 2% |
| France | 3 | 2% |
| Vietnam | 1 | <1% |
| Australia | 1 | <1% |
| Colombia | 1 | <1% |
| Brazil | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 103 | 81% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 43 | 34% |
| Researcher | 20 | 16% |
| Student > Master | 20 | 16% |
| Student > Doctoral Student | 10 | 8% |
| Student > Bachelor | 9 | 7% |
| Other | 19 | 15% |
| Unknown | 6 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 97 | 76% |
| Engineering | 13 | 10% |
| Social Sciences | 3 | 2% |
| Agricultural and Biological Sciences | 2 | 2% |
| Psychology | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 8 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 28 November 2023.
All research outputs
#7,759,539
of 24,889,544 outputs
Outputs from Lecture notes in computer science
#2,331
of 8,150 outputs
Outputs of similar age
#34,903
of 143,254 outputs
Outputs of similar age from Lecture notes in computer science
#41
of 115 outputs
Altmetric has tracked 24,889,544 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 8,150 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has gotten more attention than average, scoring higher than 70% 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 143,254 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 115 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 60% of its contemporaries.