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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Explaining mixture models through semantic pattern mining and banded matrix visualization
|
|---|---|
| Published in |
Machine Learning, June 2016
|
| DOI | 10.1007/s10994-016-5550-3 |
| Authors |
Prem Raj Adhikari, Anže Vavpetič, Jan Kralj, Nada Lavrač, Jaakko Hollmén |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 1 | 20% |
| Australia | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 60% |
| Members of the public | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Unknown | 33 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 21% |
| Researcher | 4 | 12% |
| Student > Ph. D. Student | 4 | 12% |
| Student > Doctoral Student | 3 | 9% |
| Professor > Associate Professor | 2 | 6% |
| Other | 6 | 18% |
| Unknown | 8 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 15 | 44% |
| Engineering | 3 | 9% |
| Neuroscience | 2 | 6% |
| Decision Sciences | 1 | 3% |
| Linguistics | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 10 | 29% |
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 11 April 2022.
All research outputs
#7,673,490
of 23,515,383 outputs
Outputs from Machine Learning
#290
of 1,010 outputs
Outputs of similar age
#123,057
of 347,165 outputs
Outputs of similar age from Machine Learning
#5
of 7 outputs
Altmetric has tracked 23,515,383 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,010 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 71% 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 347,165 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 64% 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 2 of them.