| Title |
A new model and a hyper-heuristic approach for two-dimensional shelf space allocation
|
|---|---|
| Published in |
4OR, September 2012
|
| DOI | 10.1007/s10288-012-0211-2 |
| Authors |
Ruibin Bai, Tom van Woensel, Graham Kendall, Edmund K. Burke |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 50 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 19% |
| Student > Master | 8 | 15% |
| Professor | 6 | 12% |
| Researcher | 5 | 10% |
| Student > Bachelor | 3 | 6% |
| Other | 11 | 21% |
| Unknown | 9 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 17% |
| Business, Management and Accounting | 8 | 15% |
| Engineering | 8 | 15% |
| Economics, Econometrics and Finance | 4 | 8% |
| Social Sciences | 4 | 8% |
| Other | 6 | 12% |
| Unknown | 13 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 10 May 2018.
All research outputs
#1,805,520
of 23,849,058 outputs
Outputs from 4OR
#2
of 70 outputs
Outputs of similar age
#11,773
of 173,779 outputs
Outputs of similar age from 4OR
#1
of 1 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 70 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done particularly well, scoring higher than 97% 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 173,779 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% 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