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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
High-Frequency Trading Strategy Based on Deep Neural Networks
|
|---|---|
| Chapter number | 40 |
| Book title |
Intelligent Computing Methodologies
|
| Published in |
Lecture notes in computer science, January 2016
|
| DOI | 10.1007/978-3-319-42297-8_40 |
| Book ISBNs |
978-3-31-942296-1, 978-3-31-942297-8
|
| Authors |
Andrés Arévalo, Jaime Niño, German Hernández, Javier Sandoval |
| Editors |
De-Shuang Huang, Kyungsook Han, Abir Hussain |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Colombia | 1 | 1% |
| Unknown | 80 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 14 | 17% |
| Student > Ph. D. Student | 13 | 16% |
| Student > Bachelor | 11 | 13% |
| Researcher | 9 | 11% |
| Student > Doctoral Student | 6 | 7% |
| Other | 8 | 10% |
| Unknown | 21 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 28 | 34% |
| Engineering | 11 | 13% |
| Economics, Econometrics and Finance | 6 | 7% |
| Business, Management and Accounting | 4 | 5% |
| Mathematics | 2 | 2% |
| Other | 7 | 9% |
| Unknown | 24 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 20 July 2022.
All research outputs
#14,861,191
of 22,888,307 outputs
Outputs from Lecture notes in computer science
#4,544
of 8,127 outputs
Outputs of similar age
#219,031
of 393,716 outputs
Outputs of similar age from Lecture notes in computer science
#373
of 581 outputs
Altmetric has tracked 22,888,307 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% 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 42nd percentile – i.e., 42% 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 393,716 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 581 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.