| Title |
Piecewise parametric structure in the pooling problem: from sparse strongly-polynomial solutions to NP-hardness
|
|---|---|
| Published in |
Journal of Global Optimization, October 2017
|
| DOI | 10.1007/s10898-017-0577-y |
| Pubmed ID | |
| Authors |
Radu Baltean-Lugojan, Ruth Misener |
X Demographics
The data shown below were collected from the profiles of 8 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 | 2 | 25% |
| United Kingdom | 1 | 13% |
| Unknown | 5 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 50% |
| Members of the public | 2 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 29% |
| Researcher | 3 | 18% |
| Professor | 2 | 12% |
| Lecturer | 1 | 6% |
| Student > Doctoral Student | 1 | 6% |
| Other | 3 | 18% |
| Unknown | 2 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemical Engineering | 3 | 18% |
| Mathematics | 3 | 18% |
| Engineering | 3 | 18% |
| Computer Science | 2 | 12% |
| Unspecified | 1 | 6% |
| Other | 3 | 18% |
| Unknown | 2 | 12% |
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 17 August 2018.
All research outputs
#5,641,667
of 23,006,268 outputs
Outputs from Journal of Global Optimization
#23
of 274 outputs
Outputs of similar age
#91,148
of 327,865 outputs
Outputs of similar age from Journal of Global Optimization
#2
of 11 outputs
Altmetric has tracked 23,006,268 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 274 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 91% 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 327,865 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 72% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.