| Title |
Parallel coordinate descent methods for big data optimization
|
|---|---|
| Published in |
Mathematical Programming, April 2015
|
| DOI | 10.1007/s10107-015-0901-6 |
| Authors |
Peter Richtárik, Martin Takáč |
Mendeley readers
The data shown below were compiled from readership statistics for 254 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 1% |
| United Kingdom | 2 | <1% |
| Chile | 1 | <1% |
| France | 1 | <1% |
| Switzerland | 1 | <1% |
| Ireland | 1 | <1% |
| Canada | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Russia | 1 | <1% |
| Other | 3 | 1% |
| Unknown | 239 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 97 | 38% |
| Researcher | 35 | 14% |
| Student > Master | 26 | 10% |
| Professor > Associate Professor | 16 | 6% |
| Student > Bachelor | 15 | 6% |
| Other | 39 | 15% |
| Unknown | 26 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 101 | 40% |
| Engineering | 46 | 18% |
| Mathematics | 35 | 14% |
| Business, Management and Accounting | 13 | 5% |
| Decision Sciences | 5 | 2% |
| Other | 20 | 8% |
| Unknown | 34 | 13% |
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 14 May 2019.
All research outputs
#4,719,007
of 22,880,230 outputs
Outputs from Mathematical Programming
#48
of 677 outputs
Outputs of similar age
#60,174
of 264,656 outputs
Outputs of similar age from Mathematical Programming
#3
of 21 outputs
Altmetric has tracked 22,880,230 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 677 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 264,656 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 76% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.