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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Artificial Neural Networks and Machine Learning – ICANN 2016
|
|---|---|
| Published by |
Lecture notes in computer science, January 2016
|
| DOI | 10.1007/978-3-319-44778-0 |
| ISBNs |
978-3-31-944777-3, 978-3-31-944778-0
|
| Editors |
Alessandro E.P. Villa, Paolo Masulli, Antonio Javier Pons Rivero |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 29% |
| United Kingdom | 1 | 14% |
| Spain | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Scientists | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 14% |
| Unknown | 6 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 29% |
| Researcher | 1 | 14% |
| Student > Master | 1 | 14% |
| Unknown | 3 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 2 | 29% |
| Computer Science | 1 | 14% |
| Neuroscience | 1 | 14% |
| Unknown | 3 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 27 December 2022.
All research outputs
#5,065,961
of 25,058,660 outputs
Outputs from Lecture notes in computer science
#1,485
of 8,153 outputs
Outputs of similar age
#81,238
of 405,235 outputs
Outputs of similar age from Lecture notes in computer science
#193
of 580 outputs
Altmetric has tracked 25,058,660 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,153 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done well, scoring higher than 81% 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 405,235 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 580 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 66% of its contemporaries.