| Title |
The many facets of linear programming
|
|---|---|
| Published in |
Mathematical Programming, April 2014
|
| DOI | 10.1007/s101070100261 |
| Authors |
Michael J. Todd |
Mendeley readers
The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 9% |
| Germany | 2 | 2% |
| Brazil | 1 | 1% |
| United Kingdom | 1 | 1% |
| France | 1 | 1% |
| New Zealand | 1 | 1% |
| Canada | 1 | 1% |
| Venezuela, Bolivarian Republic of | 1 | 1% |
| Spain | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 81 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 27 | 27% |
| Professor > Associate Professor | 14 | 14% |
| Researcher | 13 | 13% |
| Student > Master | 11 | 11% |
| Professor | 7 | 7% |
| Other | 21 | 21% |
| Unknown | 6 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 25 | 25% |
| Computer Science | 21 | 21% |
| Mathematics | 17 | 17% |
| Business, Management and Accounting | 12 | 12% |
| Economics, Econometrics and Finance | 4 | 4% |
| Other | 10 | 10% |
| Unknown | 10 | 10% |
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 15 May 2018.
All research outputs
#4,833,679
of 23,312,088 outputs
Outputs from Mathematical Programming
#51
of 683 outputs
Outputs of similar age
#47,214
of 227,914 outputs
Outputs of similar age from Mathematical Programming
#3
of 22 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 683 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done well, scoring higher than 87% 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 227,914 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 77% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.