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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Training Invertible Neural Networks as Autoencoders
|
---|---|
Chapter number | 31 |
Book title |
Pattern Recognition
|
Published in |
arXiv, September 2019
|
DOI | 10.1007/978-3-030-33676-9_31 |
Book ISBNs |
978-3-03-033675-2, 978-3-03-033676-9
|
Authors |
The-Gia Leo Nguyen, Lynton Ardizzone, Ullrich Köthe, Nguyen, The-Gia Leo, Ardizzone, Lynton, Köthe, Ullrich, Ullrich Koethe |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 17% |
Unknown | 5 | 83% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 13 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 23% |
Student > Bachelor | 1 | 8% |
Researcher | 1 | 8% |
Student > Postgraduate | 1 | 8% |
Unknown | 7 | 54% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 31% |
Earth and Planetary Sciences | 2 | 15% |
Linguistics | 1 | 8% |
Unknown | 6 | 46% |
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 22 March 2023.
All research outputs
#14,095,539
of 24,093,053 outputs
Outputs from arXiv
#219,358
of 1,018,817 outputs
Outputs of similar age
#169,611
of 344,214 outputs
Outputs of similar age from arXiv
#7,534
of 28,127 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,018,817 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 77% 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 344,214 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 28,127 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 71% of its contemporaries.