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X Demographics
Mendeley readers
Attention Score in Context
Title |
Artificial Neural Networks and Machine Learning – ICANN 2017
|
---|---|
Published by |
Lecture notes in computer science, January 2017
|
DOI | 10.1007/978-3-319-68612-7 |
ISBNs |
978-3-31-968612-7, 978-3-31-968611-0
|
Authors |
Bahroun, Yanis, Soltoggio, Andrea, Hunsicker, Eugenie |
Editors |
Alessandra Lintas, Stefano Rovetta, Paul F.M.J. Verschure, Alessandro E.P. Villa |
X Demographics
The data shown below were collected from the profiles of 36 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 | 5 | 14% |
United Kingdom | 2 | 6% |
Nigeria | 1 | 3% |
Korea, Republic of | 1 | 3% |
Germany | 1 | 3% |
Indonesia | 1 | 3% |
Israel | 1 | 3% |
Spain | 1 | 3% |
Unknown | 23 | 64% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 35 | 97% |
Scientists | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 27 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 26% |
Student > Bachelor | 3 | 11% |
Student > Master | 3 | 11% |
Professor > Associate Professor | 3 | 11% |
Professor | 2 | 7% |
Other | 3 | 11% |
Unknown | 6 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 8 | 30% |
Medicine and Dentistry | 4 | 15% |
Engineering | 3 | 11% |
Immunology and Microbiology | 2 | 7% |
Business, Management and Accounting | 1 | 4% |
Other | 1 | 4% |
Unknown | 8 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 30. 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 10 August 2023.
All research outputs
#1,307,572
of 25,312,451 outputs
Outputs from Lecture notes in computer science
#174
of 8,153 outputs
Outputs of similar age
#26,959
of 433,590 outputs
Outputs of similar age from Lecture notes in computer science
#3
of 152 outputs
Altmetric has tracked 25,312,451 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% 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 particularly well, scoring higher than 97% 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 433,590 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 152 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.