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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Advances in Neural Networks
|
|---|---|
| Published by |
arXiv, May 2015
|
| DOI | 10.1007/978-3-319-33747-0 |
| ISBNs |
978-3-31-933746-3, 978-3-31-933747-0
|
| Authors |
Giuseppe Riccio, Stefano Cavuoti, Eugenio Schisano, Massimo Brescia, Amata Mercurio, Davide Elia, Milena Benedettini, Stefano Pezzuto, Sergio Molinari, Anna Maria Di Giorgio |
| Editors |
Bassis, Simone, Esposito, Anna, Morabito, Francesco Carlo, Pasero, Eros |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 2 | 50% |
| United States | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 2% |
| Unknown | 58 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 19% |
| Student > Ph. D. Student | 6 | 10% |
| Student > Bachelor | 4 | 7% |
| Researcher | 4 | 7% |
| Student > Doctoral Student | 2 | 3% |
| Other | 3 | 5% |
| Unknown | 29 | 49% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 10 | 17% |
| Computer Science | 10 | 17% |
| Physics and Astronomy | 2 | 3% |
| Business, Management and Accounting | 1 | 2% |
| Mathematics | 1 | 2% |
| Other | 4 | 7% |
| Unknown | 31 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 28 June 2016.
All research outputs
#13,473,345
of 23,822,306 outputs
Outputs from arXiv
#200,613
of 987,304 outputs
Outputs of similar age
#121,348
of 268,436 outputs
Outputs of similar age from arXiv
#1,548
of 11,425 outputs
Altmetric has tracked 23,822,306 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 987,304 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 79% 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 268,436 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 54% of its contemporaries.
We're also able to compare this research output to 11,425 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.