| Title |
Projected gradient methods for linearly constrained problems
|
|---|---|
| Published in |
Mathematical Programming, September 1987
|
| DOI | 10.1007/bf02592073 |
| Authors |
Paul H. Calamai, Jorge J. Moré |
Mendeley readers
The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 3% |
| Germany | 2 | 1% |
| France | 1 | <1% |
| Israel | 1 | <1% |
| Canada | 1 | <1% |
| Czechia | 1 | <1% |
| Russia | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Unknown | 134 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 56 | 38% |
| Researcher | 19 | 13% |
| Student > Master | 14 | 10% |
| Professor > Associate Professor | 11 | 7% |
| Professor | 8 | 5% |
| Other | 23 | 16% |
| Unknown | 16 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 48 | 33% |
| Engineering | 41 | 28% |
| Mathematics | 22 | 15% |
| Business, Management and Accounting | 5 | 3% |
| Physics and Astronomy | 4 | 3% |
| Other | 10 | 7% |
| Unknown | 17 | 12% |
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 17 July 2012.
All research outputs
#7,557,454
of 23,052,509 outputs
Outputs from Mathematical Programming
#148
of 678 outputs
Outputs of similar age
#3,453
of 12,104 outputs
Outputs of similar age from Mathematical Programming
#3
of 3 outputs
Altmetric has tracked 23,052,509 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 678 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 49th percentile – i.e., 49% 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 12,104 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% 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.