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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Tensor Factorization Using Auxiliary Information
|
---|---|
Chapter number | 32 |
Book title |
Machine Learning and Knowledge Discovery in Databases
|
Published in |
Lecture notes in computer science, January 2011
|
DOI | 10.1007/978-3-642-23783-6_32 |
Book ISBNs |
978-3-64-223782-9, 978-3-64-223783-6
|
Authors |
Atsuhiro Narita, Kohei Hayashi, Ryota Tomioka, Hisashi Kashima, Narita, Atsuhiro, Hayashi, Kohei, Tomioka, Ryota, Kashima, Hisashi |
X Demographics
The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 7 | 47% |
United States | 1 | 7% |
United Kingdom | 1 | 7% |
France | 1 | 7% |
Unknown | 5 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 14 | 93% |
Scientists | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 5 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 60% |
Student > Bachelor | 2 | 40% |
Student > Doctoral Student | 2 | 40% |
Student > Master | 1 | 20% |
Student > Ph. D. Student | 1 | 20% |
Other | 0 | 0% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 80% |
Materials Science | 2 | 40% |
Neuroscience | 1 | 20% |
Chemistry | 1 | 20% |
Engineering | 1 | 20% |
Other | 0 | 0% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 01 September 2011.
All research outputs
#2,263,638
of 22,651,245 outputs
Outputs from Lecture notes in computer science
#457
of 8,122 outputs
Outputs of similar age
#13,432
of 180,239 outputs
Outputs of similar age from Lecture notes in computer science
#8
of 318 outputs
Altmetric has tracked 22,651,245 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,122 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 94% 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 180,239 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 318 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 97% of its contemporaries.