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Mendeley readers
Attention Score in Context
| Chapter title |
Identifying Desirable Game Character Behaviours through the Application of Evolutionary Algorithms to Model-Driven Engineering Metamodels
|
|---|---|
| Chapter number | 13 |
| Book title |
Search Based Software Engineering
|
| Published in |
Lecture notes in computer science, September 2011
|
| DOI | 10.1007/978-3-642-23716-4_13 |
| Book ISBNs |
978-3-64-223715-7, 978-3-64-223716-4
|
| Authors |
James R. Williams, Simon Poulding, Louis M. Rose, Richard F. Paige, Fiona A. C. Polack |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 4% |
| China | 1 | 4% |
| Italy | 1 | 4% |
| Unknown | 24 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 26% |
| Student > Master | 6 | 22% |
| Researcher | 4 | 15% |
| Student > Bachelor | 2 | 7% |
| Professor | 2 | 7% |
| Other | 4 | 15% |
| Unknown | 2 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 18 | 67% |
| Engineering | 2 | 7% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Medicine and Dentistry | 1 | 4% |
| Economics, Econometrics and Finance | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 4 | 15% |
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 03 June 2012.
All research outputs
#7,461,241
of 22,811,321 outputs
Outputs from Lecture notes in computer science
#2,487
of 8,124 outputs
Outputs of similar age
#43,883
of 126,357 outputs
Outputs of similar age from Lecture notes in computer science
#8
of 67 outputs
Altmetric has tracked 22,811,321 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,124 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 55% 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 126,357 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 67 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 65% of its contemporaries.