| Title |
Random Design Analysis of Ridge Regression
|
|---|---|
| Published in |
Foundations of Computational Mathematics, March 2014
|
| DOI | 10.1007/s10208-014-9192-1 |
| Authors |
Daniel Hsu, Sham M. Kakade, Tong Zhang |
Mendeley readers
The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| New Zealand | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 88 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 34% |
| Student > Master | 12 | 13% |
| Researcher | 10 | 11% |
| Student > Bachelor | 7 | 8% |
| Professor | 4 | 4% |
| Other | 16 | 18% |
| Unknown | 10 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 29 | 32% |
| Mathematics | 27 | 30% |
| Engineering | 7 | 8% |
| Economics, Econometrics and Finance | 5 | 6% |
| Agricultural and Biological Sciences | 2 | 2% |
| Other | 5 | 6% |
| Unknown | 15 | 17% |
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 13 February 2015.
All research outputs
#7,485,442
of 22,879,161 outputs
Outputs from Foundations of Computational Mathematics
#35
of 232 outputs
Outputs of similar age
#73,845
of 223,867 outputs
Outputs of similar age from Foundations of Computational Mathematics
#1
of 7 outputs
Altmetric has tracked 22,879,161 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 232 research outputs from this source. They receive a mean Attention Score of 2.5. This one has gotten more attention than average, scoring higher than 74% 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 223,867 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 54% of its contemporaries.
We're also able to compare this research output to 7 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