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Timeline
Attention over time
Attention Score history
Activity
X Demographics
Mendeley demographics
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| Title |
Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC
|
|---|---|
| Published by |
Association for Computing Machinery (ACM), August 2015
|
| DOI | 10.1145/2783258.2783373 |
| Authors |
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X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley demographics
The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| Japan | 2 | 2% |
| Portugal | 1 | <1% |
| Poland | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| United Kingdom | 1 | <1% |
| China | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 121 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 47 | 36% |
| Student > Master | 18 | 14% |
| Researcher | 16 | 12% |
| Student > Doctoral Student | 8 | 6% |
| Other | 6 | 5% |
| Other | 19 | 14% |
| Unknown | 18 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 82 | 62% |
| Engineering | 11 | 8% |
| Mathematics | 6 | 5% |
| Physics and Astronomy | 3 | 2% |
| Philosophy | 1 | <1% |
| Other | 4 | 3% |
| Unknown | 25 | 19% |