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Mendeley readers
Attention Score in Context
| Chapter title |
Simulating Urban Growth with Raster and Vector Models: A Case Study for the City of Can Tho, Vietnam
|
|---|---|
| Chapter number | 10 |
| Book title |
Autonomous Agents and Multiagent Systems
|
| Published in |
Lecture notes in computer science, September 2016
|
| DOI | 10.1007/978-3-319-46840-2_10 |
| Book ISBNs |
978-3-31-946839-6, 978-3-31-946840-2
|
| Authors |
Patrick Taillandier, Arnaud Banos, Alexis Drogoul, Benoit Gaudou, Nicolas Marilleau, Quang Chi Truong |
| Editors |
Nardine Osman, Carles Sierra |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 26% |
| Researcher | 4 | 17% |
| Other | 3 | 13% |
| Lecturer | 3 | 13% |
| Student > Master | 2 | 9% |
| Other | 1 | 4% |
| Unknown | 4 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 30% |
| Earth and Planetary Sciences | 3 | 13% |
| Environmental Science | 2 | 9% |
| Engineering | 2 | 9% |
| Agricultural and Biological Sciences | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 6 | 26% |
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 20 October 2016.
All research outputs
#12,968,953
of 22,893,031 outputs
Outputs from Lecture notes in computer science
#3,778
of 8,129 outputs
Outputs of similar age
#161,785
of 322,368 outputs
Outputs of similar age from Lecture notes in computer science
#240
of 547 outputs
Altmetric has tracked 22,893,031 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,129 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 51% 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 322,368 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 547 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 55% of its contemporaries.