| Title |
Smooth minimization of non-smooth functions
|
|---|---|
| Published in |
Mathematical Programming, December 2004
|
| DOI | 10.1007/s10107-004-0552-5 |
| Authors |
Yu. Nesterov |
Mendeley readers
The data shown below were compiled from readership statistics for 670 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 27 | 4% |
| Germany | 8 | 1% |
| France | 5 | <1% |
| China | 4 | <1% |
| Switzerland | 3 | <1% |
| Belgium | 3 | <1% |
| Japan | 2 | <1% |
| Brazil | 2 | <1% |
| Sweden | 2 | <1% |
| Other | 13 | 2% |
| Unknown | 601 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 274 | 41% |
| Researcher | 99 | 15% |
| Student > Master | 57 | 9% |
| Student > Doctoral Student | 37 | 6% |
| Professor > Associate Professor | 30 | 4% |
| Other | 93 | 14% |
| Unknown | 80 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 232 | 35% |
| Engineering | 146 | 22% |
| Mathematics | 127 | 19% |
| Physics and Astronomy | 17 | 3% |
| Business, Management and Accounting | 15 | 2% |
| Other | 37 | 6% |
| Unknown | 96 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 08 September 2023.
All research outputs
#1,612,217
of 25,416,581 outputs
Outputs from Mathematical Programming
#4
of 791 outputs
Outputs of similar age
#3,456
of 151,436 outputs
Outputs of similar age from Mathematical Programming
#2
of 5 outputs
Altmetric has tracked 25,416,581 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 791 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done particularly well, scoring higher than 99% 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 151,436 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% 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 3 of them.