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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
A General Feature Engineering Wrapper for Machine Learning Using $$\epsilon $$ -Lexicase Survival
|
|---|---|
| Chapter number | 6 |
| Book title |
Genetic Programming
|
| Published in |
Lecture notes in computer science, March 2017
|
| DOI | 10.1007/978-3-319-55696-3_6 |
| Book ISBNs |
978-3-31-955695-6, 978-3-31-955696-3
|
| Authors |
William La Cava, Jason Moore, William La Cava, Jason Moore |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 36% |
| Canada | 1 | 9% |
| France | 1 | 9% |
| Indonesia | 1 | 9% |
| Chile | 1 | 9% |
| Sweden | 1 | 9% |
| Unknown | 2 | 18% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 82% |
| Scientists | 2 | 18% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 24% |
| Student > Ph. D. Student | 4 | 19% |
| Student > Master | 2 | 10% |
| Student > Doctoral Student | 2 | 10% |
| Professor > Associate Professor | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 6 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 38% |
| Engineering | 3 | 14% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Arts and Humanities | 1 | 5% |
| Physics and Astronomy | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 6 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 19 April 2017.
All research outputs
#5,650,586
of 22,959,818 outputs
Outputs from Lecture notes in computer science
#1,774
of 8,137 outputs
Outputs of similar age
#90,669
of 308,059 outputs
Outputs of similar age from Lecture notes in computer science
#11
of 105 outputs
Altmetric has tracked 22,959,818 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,137 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 78% 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 308,059 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 105 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.