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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Compressing the Input for CNNs with the First-Order Scattering Transform
|
---|---|
Chapter number | 19 |
Book title |
Computer Vision – ECCV 2018
|
Published in |
arXiv, September 2018
|
DOI | 10.1007/978-3-030-01240-3_19 |
Book ISBNs |
978-3-03-001239-7, 978-3-03-001240-3
|
Authors |
Edouard Oyallon, Eugene Belilovsky, Sergey Zagoruyko, Michal Valko, Oyallon, Edouard, Belilovsky, Eugene, Zagoruyko, Sergey, Valko, Michal |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 2 | 15% |
Israel | 1 | 8% |
Singapore | 1 | 8% |
Japan | 1 | 8% |
United States | 1 | 8% |
Netherlands | 1 | 8% |
Unknown | 6 | 46% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 11 | 85% |
Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Scientists | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 110 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 23 | 21% |
Researcher | 15 | 14% |
Student > Master | 14 | 13% |
Student > Doctoral Student | 4 | 4% |
Student > Bachelor | 3 | 3% |
Other | 10 | 9% |
Unknown | 41 | 37% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 56 | 51% |
Engineering | 4 | 4% |
Agricultural and Biological Sciences | 2 | 2% |
Mathematics | 2 | 2% |
Materials Science | 2 | 2% |
Other | 1 | <1% |
Unknown | 43 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 October 2018.
All research outputs
#6,050,880
of 24,143,470 outputs
Outputs from arXiv
#122,519
of 1,023,659 outputs
Outputs of similar age
#102,573
of 345,377 outputs
Outputs of similar age from arXiv
#3,350
of 25,430 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,023,659 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 87% 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 345,377 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 25,430 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.