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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Dynamic Index Trading Using a Gene Regulatory Network Model
|
---|---|
Chapter number | 21 |
Book title |
Applications of Evolutionary Computation
|
Published in |
Lecture notes in computer science, November 2014
|
DOI | 10.1007/978-3-662-45523-4_21 |
Book ISBNs |
978-3-66-245522-7, 978-3-66-245523-4
|
Authors |
Miguel Nicolau, Michael O’Neill, Anthony Brabazon, Anna I. Esparcia-Alcázar, Antonio M. Mora, Nicolau, Miguel, O’Neill, Michael, Brabazon, Anthony |
Editors |
Anna I. Esparcia-Alcázar, Antonio M. Mora |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Ireland | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 8 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 2 | 25% |
Researcher | 2 | 25% |
Student > Ph. D. Student | 1 | 13% |
Professor > Associate Professor | 1 | 13% |
Unknown | 2 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 2 | 25% |
Computer Science | 2 | 25% |
Biochemistry, Genetics and Molecular Biology | 1 | 13% |
Unknown | 3 | 38% |
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 04 January 2017.
All research outputs
#15,366,818
of 22,860,626 outputs
Outputs from Lecture notes in computer science
#4,648
of 8,127 outputs
Outputs of similar age
#214,663
of 362,165 outputs
Outputs of similar age from Lecture notes in computer science
#208
of 320 outputs
Altmetric has tracked 22,860,626 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 362,165 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 320 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.