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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
A Layer-Wise Information Reinforcement Approach to Improve Learning in Deep Belief Networks
|
---|---|
Chapter number | 22 |
Book title |
Artificial Intelligence and Soft Computing
|
Published in |
arXiv, October 2020
|
DOI | 10.1007/978-3-030-61401-0_22 |
Book ISBNs |
978-3-03-061400-3, 978-3-03-061401-0
|
Authors |
Mateus Roder, Leandro A. Passos, Luiz Carlos Felix Ribeiro, Clayton Pereira, João Paulo Papa, Roder, Mateus, Passos, Leandro A., Ribeiro, Luiz Carlos Felix, Pereira, Clayton, Papa, João Paulo |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
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 % |
---|---|---|
Unspecified | 1 | 25% |
Student > Bachelor | 1 | 25% |
Unknown | 2 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 1 | 25% |
Engineering | 1 | 25% |
Unknown | 2 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 20 August 2021.
All research outputs
#15,642,530
of 23,253,955 outputs
Outputs from arXiv
#381,559
of 958,527 outputs
Outputs of similar age
#256,794
of 416,054 outputs
Outputs of similar age from arXiv
#13,252
of 34,238 outputs
Altmetric has tracked 23,253,955 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 958,527 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 53% 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 416,054 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34,238 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 55% of its contemporaries.