| Title |
An automatic solver for very large jigsaw puzzles using genetic algorithms
|
|---|---|
| Published in |
Genetic Programming and Evolvable Machines, February 2016
|
| DOI | 10.1007/s10710-015-9258-0 |
| Authors |
Dror Sholomon, Omid E. David, Nathan S. Netanyahu |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 16% |
| Student > Master | 2 | 8% |
| Unspecified | 1 | 4% |
| Professor | 1 | 4% |
| Student > Doctoral Student | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 14 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 28% |
| Engineering | 2 | 8% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Unspecified | 1 | 4% |
| Medicine and Dentistry | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 12 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 29 November 2017.
All research outputs
#14,121,063
of 23,884,161 outputs
Outputs from Genetic Programming and Evolvable Machines
#73
of 123 outputs
Outputs of similar age
#200,796
of 409,641 outputs
Outputs of similar age from Genetic Programming and Evolvable Machines
#1
of 1 outputs
Altmetric has tracked 23,884,161 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 123 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 39th percentile – i.e., 39% 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 409,641 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 50% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them