| Title |
A Unified Primal-Dual Algorithm Framework Based on Bregman Iteration
|
|---|---|
| Published in |
Journal of Scientific Computing, August 2010
|
| DOI | 10.1007/s10915-010-9408-8 |
| Authors |
Xiaoqun Zhang, Martin Burger, Stanley Osher |
Mendeley readers
The data shown below were compiled from readership statistics for 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 4% |
| Germany | 3 | 2% |
| Switzerland | 2 | 1% |
| North Macedonia | 1 | <1% |
| Japan | 1 | <1% |
| Denmark | 1 | <1% |
| Unknown | 120 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 50 | 37% |
| Researcher | 33 | 25% |
| Student > Doctoral Student | 6 | 4% |
| Professor > Associate Professor | 6 | 4% |
| Professor | 5 | 4% |
| Other | 11 | 8% |
| Unknown | 23 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 36 | 27% |
| Computer Science | 29 | 22% |
| Engineering | 28 | 21% |
| Physics and Astronomy | 3 | 2% |
| Earth and Planetary Sciences | 2 | 1% |
| Other | 11 | 8% |
| Unknown | 25 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 15 August 2017.
All research outputs
#7,567,797
of 23,081,466 outputs
Outputs from Journal of Scientific Computing
#29
of 755 outputs
Outputs of similar age
#33,851
of 95,266 outputs
Outputs of similar age from Journal of Scientific Computing
#2
of 3 outputs
Altmetric has tracked 23,081,466 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 755 research outputs from this source. They receive a mean Attention Score of 0.8. 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 95,266 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% 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.