| Title |
Rényi divergence minimization based co-regularized multiview clustering
|
|---|---|
| Published in |
Machine Learning, February 2016
|
| DOI | 10.1007/s10994-016-5543-2 |
| Authors |
Shalmali Joshi, Joydeep Ghosh, Mark Reid, Oluwasanmi Koyejo |
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 % |
|---|---|---|
| Australia | 2 | 33% |
| United States | 2 | 33% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 50% |
| Members of the public | 3 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 5% |
| Unknown | 20 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 19% |
| Student > Master | 3 | 14% |
| Student > Bachelor | 2 | 10% |
| Professor | 2 | 10% |
| Student > Doctoral Student | 2 | 10% |
| Other | 5 | 24% |
| Unknown | 3 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 48% |
| Medicine and Dentistry | 2 | 10% |
| Agricultural and Biological Sciences | 1 | 5% |
| Mathematics | 1 | 5% |
| Psychology | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 5 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 08 April 2021.
All research outputs
#4,690,616
of 24,946,857 outputs
Outputs from Machine Learning
#121
of 1,146 outputs
Outputs of similar age
#66,092
of 303,519 outputs
Outputs of similar age from Machine Learning
#2
of 11 outputs
Altmetric has tracked 24,946,857 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,146 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 89% 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 303,519 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% 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 done particularly well, scoring higher than 90% of its contemporaries.