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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
ECJ+HADOOP: An Easy Way to Deploy Massive Runs of Evolutionary Algorithms
|
|---|---|
| Chapter number | 7 |
| Book title |
Applications of Evolutionary Computation
|
| Published in |
Lecture notes in computer science, April 2016
|
| DOI | 10.1007/978-3-319-31153-1_7 |
| Book ISBNs |
978-3-31-931152-4, 978-3-31-931153-1
|
| Authors |
Francisco Chávez, Francisco Fernández, César Benavides, Daniel Lanza, Juan Villegas, Leonardo Trujillo, Gustavo Olague, Graciela Román |
| Editors |
Giovanni Squillero, Paolo Burelli |
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 % |
|---|---|---|
| Mexico | 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 5 | 29% |
| Librarian | 3 | 18% |
| Student > Ph. D. Student | 2 | 12% |
| Lecturer > Senior Lecturer | 1 | 6% |
| Student > Doctoral Student | 1 | 6% |
| Other | 3 | 18% |
| Unknown | 2 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 11 | 65% |
| Social Sciences | 2 | 12% |
| Physics and Astronomy | 1 | 6% |
| Business, Management and Accounting | 1 | 6% |
| Unknown | 2 | 12% |
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 29 March 2016.
All research outputs
#15,365,885
of 22,858,915 outputs
Outputs from Lecture notes in computer science
#4,648
of 8,127 outputs
Outputs of similar age
#180,293
of 300,331 outputs
Outputs of similar age from Lecture notes in computer science
#59
of 119 outputs
Altmetric has tracked 22,858,915 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 27th percentile – i.e., 27% 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 300,331 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 119 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.