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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Guided Self-Organization of Input-Driven Recurrent Neural Networks
|
|---|---|
| Chapter number | 11 |
| Book title |
Guided Self-Organization: Inception
|
| Published in |
arXiv, February 2016
|
| DOI | 10.1007/978-3-642-53734-9_11 |
| Book ISBNs |
978-3-64-253733-2, 978-3-64-253734-9
|
| Authors |
Oliver Obst, Joschka Boedecker, Obst, Oliver, Boedecker, Joschka |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 2 | 25% |
| Philippines | 1 | 13% |
| Portugal | 1 | 13% |
| United States | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 50% |
| Members of the public | 3 | 38% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 6% |
| Germany | 2 | 6% |
| France | 1 | 3% |
| United States | 1 | 3% |
| Unknown | 27 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 30% |
| Researcher | 7 | 21% |
| Professor > Associate Professor | 4 | 12% |
| Professor | 3 | 9% |
| Student > Doctoral Student | 2 | 6% |
| Other | 6 | 18% |
| Unknown | 1 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 19 | 58% |
| Neuroscience | 3 | 9% |
| Physics and Astronomy | 3 | 9% |
| Agricultural and Biological Sciences | 2 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Other | 4 | 12% |
| Unknown | 1 | 3% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 January 2014.
All research outputs
#6,766,904
of 22,721,584 outputs
Outputs from arXiv
#144,161
of 931,361 outputs
Outputs of similar age
#111,321
of 396,665 outputs
Outputs of similar age from arXiv
#1,528
of 14,569 outputs
Altmetric has tracked 22,721,584 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 931,361 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 84% 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 396,665 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 71% of its contemporaries.
We're also able to compare this research output to 14,569 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.