| Title |
ALRn: accelerated higher-order logistic regression
|
|---|---|
| Published in |
Machine Learning, July 2016
|
| DOI | 10.1007/s10994-016-5574-8 |
| Authors |
Nayyar A. Zaidi, Geoffrey I. Webb, Mark J. Carman, François Petitjean, Jesús Cerquides |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 33% |
| United States | 1 | 17% |
| Netherlands | 1 | 17% |
| Australia | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 8% |
| Unknown | 12 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 15% |
| Professor > Associate Professor | 2 | 15% |
| Student > Ph. D. Student | 2 | 15% |
| Researcher | 2 | 15% |
| Lecturer > Senior Lecturer | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 3 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 62% |
| Mathematics | 1 | 8% |
| Engineering | 1 | 8% |
| Unknown | 3 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 05 December 2016.
All research outputs
#6,833,529
of 23,164,913 outputs
Outputs from Machine Learning
#243
of 981 outputs
Outputs of similar age
#114,795
of 365,240 outputs
Outputs of similar age from Machine Learning
#5
of 11 outputs
Altmetric has tracked 23,164,913 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 981 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 75% 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 365,240 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 68% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.