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Mendeley readers
Attention Score in Context
| Chapter title |
Bayesian Multi-view Tensor Factorization
|
|---|---|
| Chapter number | 42 |
| Book title |
Machine Learning and Knowledge Discovery in Databases
|
| Published in |
Lecture notes in computer science, January 2014
|
| DOI | 10.1007/978-3-662-44848-9_42 |
| Book ISBNs |
978-3-66-244847-2, 978-3-66-244848-9
|
| Authors |
Suleiman A Khan, Samuel Kaski |
| Editors |
Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Unknown | 35 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 33% |
| Student > Bachelor | 4 | 11% |
| Researcher | 3 | 8% |
| Student > Master | 3 | 8% |
| Student > Doctoral Student | 2 | 6% |
| Other | 7 | 19% |
| Unknown | 5 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 17 | 47% |
| Engineering | 4 | 11% |
| Agricultural and Biological Sciences | 3 | 8% |
| Mathematics | 2 | 6% |
| Physics and Astronomy | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 6 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 10 December 2016.
All research outputs
#7,487,068
of 22,886,568 outputs
Outputs from Lecture notes in computer science
#2,487
of 8,127 outputs
Outputs of similar age
#92,057
of 305,721 outputs
Outputs of similar age from Lecture notes in computer science
#102
of 280 outputs
Altmetric has tracked 22,886,568 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 54% 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 305,721 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 280 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 56% of its contemporaries.