| Title |
Good Laboratory Practice for optimization research
|
|---|---|
| Published in |
Journal of the Operational Research Society, December 2017
|
| DOI | 10.1057/jors.2015.77 |
| Authors |
Graham Kendall, Ruibin Bai, Jacek Błazewicz, Patrick De Causmaecker, Michel Gendreau, Robert John, Jiawei Li, Barry McCollum, Erwin Pesch, Rong Qu, Nasser Sabar, Greet Vanden Berghe, Angelina Yee |
X Demographics
The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 4 | 22% |
| Canada | 2 | 11% |
| Germany | 2 | 11% |
| Portugal | 1 | 6% |
| Sweden | 1 | 6% |
| United Kingdom | 1 | 6% |
| United States | 1 | 6% |
| Unknown | 6 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 10 | 56% |
| Members of the public | 7 | 39% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | <1% |
| Unknown | 110 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 14% |
| Student > Bachelor | 14 | 13% |
| Researcher | 11 | 10% |
| Professor | 11 | 10% |
| Student > Doctoral Student | 9 | 8% |
| Other | 19 | 17% |
| Unknown | 31 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 20 | 18% |
| Engineering | 16 | 14% |
| Biochemistry, Genetics and Molecular Biology | 7 | 6% |
| Business, Management and Accounting | 6 | 5% |
| Mathematics | 4 | 4% |
| Other | 17 | 15% |
| Unknown | 41 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 November 2017.
All research outputs
#2,768,297
of 25,722,279 outputs
Outputs from Journal of the Operational Research Society
#30
of 1,094 outputs
Outputs of similar age
#59,050
of 449,972 outputs
Outputs of similar age from Journal of the Operational Research Society
#26
of 536 outputs
Altmetric has tracked 25,722,279 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,094 research outputs from this source. They receive a mean Attention Score of 3.2. 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 449,972 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 536 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.