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Twitter Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Unsupervised Anomaly Detection with a GAN Augmented Autoencoder
|
---|---|
Chapter number | 38 |
Book title |
Artificial Neural Networks and Machine Learning – ICANN 2020
|
Published in |
arXiv, October 2020
|
DOI | 10.1007/978-3-030-61609-0_38 |
Book ISBNs |
978-3-03-061608-3, 978-3-03-061609-0
|
Authors |
Laya Rafiee, Thomas Fevens, Laya Rafiee Sevyeri, Rafiee, Laya, Fevens, Thomas |
Twitter Demographics
The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 20% |
Unknown | 4 | 80% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 1 | 33% |
Unknown | 2 | 67% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 1 | 33% |
Unknown | 2 | 67% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 03 January 2022.
All research outputs
#14,338,684
of 24,093,053 outputs
Outputs from arXiv
#237,404
of 1,018,817 outputs
Outputs of similar age
#210,692
of 417,587 outputs
Outputs of similar age from arXiv
#7,648
of 33,865 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% 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 gotten more attention than average, scoring higher than 74% 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 417,587 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33,865 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.