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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
RECIPE: A Grammar-Based Framework for Automatically Evolving Classification Pipelines
|
|---|---|
| Chapter number | 16 |
| Book title |
Genetic Programming
|
| Published in |
Lecture notes in computer science, March 2017
|
| DOI | 10.1007/978-3-319-55696-3_16 |
| Book ISBNs |
978-3-31-955695-6, 978-3-31-955696-3
|
| Authors |
Alex G. C. de Sá, Walter José G. S. Pinto, Luiz Otavio V. B. Oliveira, Gisele L. Pappa, Alex G. C. de Sá, Walter José G. S. Pinto, Luiz Otavio V. B. Oliveira, Gisele L. Pappa, Sá, Alex G. C. de, Pinto, Walter José G. S., Oliveira, Luiz Otavio V. B., Pappa, Gisele L. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 1% |
| Unknown | 66 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 22% |
| Student > Master | 12 | 18% |
| Researcher | 10 | 15% |
| Student > Bachelor | 7 | 10% |
| Professor > Associate Professor | 3 | 4% |
| Other | 8 | 12% |
| Unknown | 12 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 36 | 54% |
| Engineering | 11 | 16% |
| Biochemistry, Genetics and Molecular Biology | 1 | 1% |
| Business, Management and Accounting | 1 | 1% |
| Mathematics | 1 | 1% |
| Other | 2 | 3% |
| Unknown | 15 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 08 October 2018.
All research outputs
#7,176,416
of 25,736,439 outputs
Outputs from Lecture notes in computer science
#2,081
of 8,172 outputs
Outputs of similar age
#106,803
of 323,138 outputs
Outputs of similar age from Lecture notes in computer science
#13
of 103 outputs
Altmetric has tracked 25,736,439 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 8,172 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has gotten more attention than average, scoring higher than 74% 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 323,138 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 66% of its contemporaries.
We're also able to compare this research output to 103 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.