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Investigating Explainability Methods in Recurrent Neural Network Architectures for Financial Time Series Data

Overview of attention for article published in Applied Sciences, January 2022
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104 Mendeley
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Article details
Title
Investigating Explainability Methods in Recurrent Neural Network Architectures for Financial Time Series Data
Published in
Applied Sciences, January 2022
DOI 10.3390/app12031427
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Timeline Attention over time Attention Score history
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X Demographics

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.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 104 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 9 9%
Student > Ph. D. Student 8 8%
Lecturer 6 6%
Other 4 4%
Student > Bachelor 3 3%
Other 10 10%
Unknown 64 62%
Readers by discipline
Readers by discipline Count As %
Computer Science 17 16%
Engineering 6 6%
Economics, Econometrics and Finance 4 4%
Earth and Planetary Sciences 2 2%
Energy 2 2%
Other 12 12%
Unknown 61 59%
Attention Score in Context

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 17 May 2024.
All research outputs
#23,260,280
of 25,923,151 outputs
Outputs from Applied Sciences
#10,411
of 15,451 outputs
Outputs of similar age
#449,808
of 525,775 outputs
Outputs of similar age from Applied Sciences
#597
of 1,034 outputs
Altmetric has tracked 25,923,151 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 15,451 research outputs from this source. They receive a mean Attention Score of 2.1. 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 525,775 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 1,034 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.