| Title |
Pegasos: primal estimated sub-gradient solver for SVM
|
|---|---|
| Published in |
Mathematical Programming, October 2010
|
| DOI | 10.1007/s10107-010-0420-4 |
| Authors |
Shai Shalev-Shwartz, Yoram Singer, Nathan Srebro, Andrew Cotter |
Mendeley readers
The data shown below were compiled from readership statistics for 937 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 31 | 3% |
| China | 14 | 1% |
| Germany | 12 | 1% |
| Japan | 10 | 1% |
| Switzerland | 4 | <1% |
| United Kingdom | 4 | <1% |
| Italy | 4 | <1% |
| India | 3 | <1% |
| Australia | 3 | <1% |
| Other | 29 | 3% |
| Unknown | 823 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 300 | 32% |
| Researcher | 152 | 16% |
| Student > Master | 148 | 16% |
| Student > Bachelor | 59 | 6% |
| Student > Doctoral Student | 45 | 5% |
| Other | 122 | 13% |
| Unknown | 111 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 529 | 56% |
| Engineering | 120 | 13% |
| Mathematics | 49 | 5% |
| Agricultural and Biological Sciences | 17 | 2% |
| Physics and Astronomy | 11 | 1% |
| Other | 66 | 7% |
| Unknown | 145 | 15% |
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 13 September 2022.
All research outputs
#4,835,644
of 23,317,888 outputs
Outputs from Mathematical Programming
#51
of 683 outputs
Outputs of similar age
#21,146
of 100,521 outputs
Outputs of similar age from Mathematical Programming
#1
of 4 outputs
Altmetric has tracked 23,317,888 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 100,521 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 73% of its contemporaries.
We're also able to compare this research output to 4 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