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X Demographics
Mendeley readers
Attention Score in Context
Title |
Understanding Deep Learning: Expected Spanning Dimension and Controlling the Flexibility of Neural Networks
|
---|---|
Published in |
Frontiers in Applied Mathematics and Statistics, October 2020
|
DOI | 10.3389/fams.2020.572539 |
Authors |
David Berthiaume, Randy Paffenroth, Lei Guo |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 4 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor | 1 | 25% |
Researcher | 1 | 25% |
Lecturer | 1 | 25% |
Unknown | 1 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 2 | 50% |
Physics and Astronomy | 1 | 25% |
Unknown | 1 | 25% |
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 31 December 2020.
All research outputs
#15,596,701
of 23,257,423 outputs
Outputs from Frontiers in Applied Mathematics and Statistics
#144
of 346 outputs
Outputs of similar age
#257,064
of 420,311 outputs
Outputs of similar age from Frontiers in Applied Mathematics and Statistics
#8
of 16 outputs
Altmetric has tracked 23,257,423 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 346 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 58% 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 420,311 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 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 50% of its contemporaries.