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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Integration of AI and OR Techniques in Constraint Programming
|
|---|---|
| Published by |
arXiv, January 2017
|
| DOI | 10.1007/978-3-319-59776-8 |
| ISBNs |
978-3-31-959775-1, 978-3-31-959776-8
|
| Authors |
Emily Speakman, Han Yu, Jon Lee |
| Editors |
Domenico Salvagnin, Michele Lombardi |
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 % |
|---|---|---|
| France | 1 | 20% |
| Germany | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 60% |
| Members of the public | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 12% |
| Researcher | 5 | 10% |
| Student > Bachelor | 4 | 8% |
| Student > Ph. D. Student | 4 | 8% |
| Student > Doctoral Student | 2 | 4% |
| Other | 1 | 2% |
| Unknown | 28 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 18% |
| Engineering | 6 | 12% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Agricultural and Biological Sciences | 1 | 2% |
| Chemistry | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 30 | 60% |
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 08 September 2020.
All research outputs
#6,587,541
of 26,017,215 outputs
Outputs from arXiv
#103,104
of 938,014 outputs
Outputs of similar age
#110,603
of 428,160 outputs
Outputs of similar age from arXiv
#1,655
of 13,686 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 938,014 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 88% 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 428,160 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 74% of its contemporaries.
We're also able to compare this research output to 13,686 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.