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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Optimizing Convolutional Neural Networks for Embedded Systems by Means
of Neuroevolution
|
|---|---|
| Chapter number | 7 |
| Book title |
Theory and Practice of Natural Computing
|
| Published in |
arXiv, November 2019
|
| DOI | 10.1007/978-3-030-34500-6_7 |
| Book ISBNs |
978-3-03-034499-3, 978-3-03-034500-6
|
| Authors |
Filip Badan, Lukas Sekanina, Badan, Filip, Sekanina, Lukas |
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 | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 23% |
| Student > Ph. D. Student | 3 | 23% |
| Student > Doctoral Student | 2 | 15% |
| Professor | 1 | 8% |
| Professor > Associate Professor | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 2 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 69% |
| Economics, Econometrics and Finance | 1 | 8% |
| Unknown | 3 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 16 October 2019.
All research outputs
#14,926,241
of 23,168,000 outputs
Outputs from arXiv
#324,377
of 953,740 outputs
Outputs of similar age
#257,790
of 457,639 outputs
Outputs of similar age from arXiv
#10,477
of 28,838 outputs
Altmetric has tracked 23,168,000 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 953,740 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 65% 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 457,639 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28,838 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.