| Title |
Subgradient methods for huge-scale optimization problems
|
|---|---|
| Published in |
Mathematical Programming, May 2013
|
| DOI | 10.1007/s10107-013-0686-4 |
| Authors |
Yu. Nesterov |
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 % |
|---|---|---|
| Japan | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 5% |
| Korea, Republic of | 1 | 1% |
| Australia | 1 | 1% |
| Israel | 1 | 1% |
| New Zealand | 1 | 1% |
| Italy | 1 | 1% |
| Denmark | 1 | 1% |
| Taiwan | 1 | 1% |
| Russia | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 69 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 35 | 43% |
| Researcher | 15 | 18% |
| Student > Doctoral Student | 7 | 9% |
| Student > Bachelor | 5 | 6% |
| Professor | 5 | 6% |
| Other | 10 | 12% |
| Unknown | 5 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 29 | 35% |
| Mathematics | 22 | 27% |
| Engineering | 15 | 18% |
| Business, Management and Accounting | 3 | 4% |
| Agricultural and Biological Sciences | 2 | 2% |
| Other | 4 | 5% |
| Unknown | 7 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 09 December 2014.
All research outputs
#18,385,510
of 22,772,779 outputs
Outputs from Mathematical Programming
#481
of 678 outputs
Outputs of similar age
#146,324
of 195,147 outputs
Outputs of similar age from Mathematical Programming
#3
of 3 outputs
Altmetric has tracked 22,772,779 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 678 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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 195,147 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.