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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
The Uncertainty Quandary: A Study in the Context of the Evolutionary Optimization in Games and Other Uncertain Environments
|
|---|---|
| Chapter number | 3 |
| Book title |
Transactions on Computational Collective Intelligence XXIV
|
| Published in |
Lecture notes in computer science, September 2016
|
| DOI | 10.1007/978-3-662-53525-7_3 |
| Book ISBNs |
978-3-66-253524-0, 978-3-66-253525-7
|
| Authors |
Juan J. Merelo, Federico Liberatore, Antonio Fernández Ares, Rubén García, Zeineb Chelly, Carlos Cotta, Nuria Rico, Antonio M. Mora, Pablo García-Sánchez, Alberto Tonda, Paloma de las Cuevas, Pedro A. Castillo |
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 % |
|---|---|---|
| Spain | 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 2 | 18% |
| Researcher | 2 | 18% |
| Student > Ph. D. Student | 1 | 9% |
| Other | 1 | 9% |
| Lecturer | 1 | 9% |
| Other | 1 | 9% |
| Unknown | 3 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 55% |
| Agricultural and Biological Sciences | 1 | 9% |
| Chemistry | 1 | 9% |
| Unknown | 3 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 March 2017.
All research outputs
#20,853,629
of 25,621,213 outputs
Outputs from Lecture notes in computer science
#6,071
of 8,170 outputs
Outputs of similar age
#256,737
of 331,423 outputs
Outputs of similar age from Lecture notes in computer science
#388
of 540 outputs
Altmetric has tracked 25,621,213 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,170 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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 331,423 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 540 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.