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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Multivariate Dynamic Kernels for Financial Time Series Forecasting
|
---|---|
Chapter number | 40 |
Book title |
Artificial Neural Networks and Machine Learning – ICANN 2016
|
Published in |
Lecture notes in computer science, August 2016
|
DOI | 10.1007/978-3-319-44781-0_40 |
Book ISBNs |
978-3-31-944780-3, 978-3-31-944781-0
|
Authors |
Mauricio Peña, Argimiro Arratia, Lluís A. Belanche, Peña, Mauricio, Arratia Quesada, Argimiro Alejandro, Belanche Muñoz, Luis Antonio |
Editors |
Alessandro E.P. Villa, Paolo Masulli, Antonio Javier Pons Rivero |
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 % |
---|---|---|
Spain | 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 4% |
Unknown | 25 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 12% |
Other | 1 | 4% |
Librarian | 1 | 4% |
Student > Master | 1 | 4% |
Professor > Associate Professor | 1 | 4% |
Other | 0 | 0% |
Unknown | 19 | 73% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 12% |
Economics, Econometrics and Finance | 3 | 12% |
Unknown | 20 | 77% |
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 13 March 2017.
All research outputs
#20,338,537
of 22,884,315 outputs
Outputs from Lecture notes in computer science
#6,991
of 8,127 outputs
Outputs of similar age
#310,522
of 354,870 outputs
Outputs of similar age from Lecture notes in computer science
#407
of 459 outputs
Altmetric has tracked 22,884,315 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 1st percentile – i.e., 1% 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 354,870 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 459 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.