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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Smooth Minimization of Nonsmooth Functions with Parallel Coordinate Descent Methods
|
|---|---|
| Chapter number | 4 |
| Book title |
Modeling and Optimization: Theory and Applications
|
| Published in |
arXiv, August 2017
|
| DOI | 10.1007/978-3-030-12119-8_4 |
| Book ISBNs |
978-3-03-012118-1, 978-3-03-012119-8
|
| Authors |
Olivier Fercoq, Peter Richtárik, Fercoq, Olivier, Richtárik, Peter |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Iran, Islamic Republic of | 1 | 4% |
| Japan | 1 | 4% |
| United States | 1 | 4% |
| Unknown | 22 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 40% |
| Student > Doctoral Student | 2 | 8% |
| Student > Bachelor | 2 | 8% |
| Professor > Associate Professor | 2 | 8% |
| Professor | 2 | 8% |
| Other | 4 | 16% |
| Unknown | 3 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 32% |
| Engineering | 5 | 20% |
| Mathematics | 4 | 16% |
| Business, Management and Accounting | 1 | 4% |
| Physics and Astronomy | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 3 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 24 September 2013.
All research outputs
#18,348,542
of 22,723,682 outputs
Outputs from arXiv
#532,081
of 932,221 outputs
Outputs of similar age
#220,634
of 287,192 outputs
Outputs of similar age from arXiv
#14,822
of 19,713 outputs
Altmetric has tracked 22,723,682 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 932,221 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 28th percentile – i.e., 28% 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 287,192 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19,713 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.