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Mendeley readers
Attention Score in Context
| Chapter title |
Lévy-Flight Genetic Programming: Towards a New Mutation Paradigm
|
|---|---|
| Chapter number | 4 |
| Book title |
Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
|
| Published in |
Lecture notes in computer science, January 2012
|
| DOI | 10.1007/978-3-642-29066-4_4 |
| Book ISBNs |
978-3-64-229065-7, 978-3-64-229066-4
|
| Authors |
Christian Darabos, Mario Giacobini, Ting Hu, Jason H. Moore |
| Editors |
Mario Giacobini, Leonardo Vanneschi, William S. Bush |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 4% |
| Italy | 1 | 4% |
| Malta | 1 | 4% |
| Unknown | 21 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 25% |
| Student > Ph. D. Student | 5 | 21% |
| Researcher | 4 | 17% |
| Student > Doctoral Student | 2 | 8% |
| Professor > Associate Professor | 2 | 8% |
| Other | 2 | 8% |
| Unknown | 3 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 15 | 63% |
| Agricultural and Biological Sciences | 3 | 13% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Engineering | 1 | 4% |
| Unknown | 4 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 09 May 2012.
All research outputs
#4,645,438
of 22,665,794 outputs
Outputs from Lecture notes in computer science
#1,541
of 8,123 outputs
Outputs of similar age
#40,624
of 244,053 outputs
Outputs of similar age from Lecture notes in computer science
#85
of 490 outputs
Altmetric has tracked 22,665,794 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,123 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 81% 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 244,053 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 490 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.