| Title |
CVXGEN: a code generator for embedded convex optimization
|
|---|---|
| Published in |
Optimization and Engineering, November 2011
|
| DOI | 10.1007/s11081-011-9176-9 |
| Authors |
Jacob Mattingley, Stephen Boyd |
Mendeley readers
The data shown below were compiled from readership statistics for 291 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 2% |
| Denmark | 2 | <1% |
| France | 1 | <1% |
| Australia | 1 | <1% |
| Czechia | 1 | <1% |
| Colombia | 1 | <1% |
| Germany | 1 | <1% |
| United Kingdom | 1 | <1% |
| Japan | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 275 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 101 | 35% |
| Student > Master | 45 | 15% |
| Researcher | 32 | 11% |
| Student > Doctoral Student | 19 | 7% |
| Student > Bachelor | 14 | 5% |
| Other | 31 | 11% |
| Unknown | 49 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 166 | 57% |
| Computer Science | 30 | 10% |
| Mathematics | 7 | 2% |
| Unspecified | 6 | 2% |
| Economics, Econometrics and Finance | 6 | 2% |
| Other | 22 | 8% |
| Unknown | 54 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 16 January 2024.
All research outputs
#3,414,823
of 23,549,388 outputs
Outputs from Optimization and Engineering
#5
of 109 outputs
Outputs of similar age
#18,947
of 143,553 outputs
Outputs of similar age from Optimization and Engineering
#1
of 5 outputs
Altmetric has tracked 23,549,388 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 109 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done particularly well, scoring higher than 93% 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 143,553 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 85% of its contemporaries.
We're also able to compare this research output to 5 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