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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Weighted Nonnegative Matrix Co-Tri-Factorization for Collaborative Prediction
|
|---|---|
| Chapter number | 30 |
| Book title |
Advances in Machine Learning
|
| Published in |
Lecture notes in computer science, November 2009
|
| DOI | 10.1007/978-3-642-05224-8_30 |
| Book ISBNs |
978-3-64-205223-1, 978-3-64-205224-8
|
| Authors |
Jiho Yoo, Seungjin Choi, Yoo, Jiho, Choi, Seungjin |
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 readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Korea, Republic of | 3 | 12% |
| France | 1 | 4% |
| China | 1 | 4% |
| Japan | 1 | 4% |
| United States | 1 | 4% |
| Unknown | 19 | 73% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 54% |
| Researcher | 5 | 19% |
| Professor > Associate Professor | 2 | 8% |
| Student > Master | 1 | 4% |
| Lecturer | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 1 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 17 | 65% |
| Mathematics | 2 | 8% |
| Business, Management and Accounting | 2 | 8% |
| Engineering | 2 | 8% |
| Unknown | 3 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 28 May 2014.
All research outputs
#18,372,841
of 22,756,196 outputs
Outputs from Lecture notes in computer science
#6,007
of 8,126 outputs
Outputs of similar age
#86,143
of 94,337 outputs
Outputs of similar age from Lecture notes in computer science
#17
of 24 outputs
Altmetric has tracked 22,756,196 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,126 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
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 94,337 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.