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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Learning Feature Hierarchies with Centered Deep Boltzmann Machines
|
|---|---|
| Chapter number | 33 |
| Book title |
Neural Networks: Tricks of the Trade
|
| Published in |
Lecture notes in computer science, January 2012
|
| DOI | 10.1007/978-3-642-35289-8_33 |
| Book ISBNs |
978-3-64-235288-1, 978-3-64-235289-8
|
| Authors |
Grégoire Montavon, Klaus-Robert Müller, Montavon, Grégoire, Müller, Klaus-Robert |
| Editors |
Grégoire Montavon, Geneviève B. Orr, Klaus-Robert Müller |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 3% |
| Canada | 2 | 1% |
| France | 1 | <1% |
| Malaysia | 1 | <1% |
| Indonesia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 145 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 37 | 24% |
| Student > Master | 31 | 20% |
| Researcher | 26 | 17% |
| Student > Bachelor | 15 | 10% |
| Other | 8 | 5% |
| Other | 26 | 17% |
| Unknown | 12 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 79 | 51% |
| Engineering | 27 | 17% |
| Mathematics | 9 | 6% |
| Agricultural and Biological Sciences | 4 | 3% |
| Physics and Astronomy | 4 | 3% |
| Other | 15 | 10% |
| Unknown | 17 | 11% |
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 09 November 2012.
All research outputs
#17,463,699
of 25,617,409 outputs
Outputs from Lecture notes in computer science
#4,762
of 8,170 outputs
Outputs of similar age
#173,565
of 251,155 outputs
Outputs of similar age from Lecture notes in computer science
#269
of 485 outputs
Altmetric has tracked 25,617,409 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,170 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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 251,155 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 485 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.