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A study on novel filtering and relationship between input-features and target-vectors in a deep learning model for stock price prediction

Overview of attention for article published in Applied Intelligence, October 2018
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Mentioned by

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1 X user
facebook
1 Facebook page

Citations

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56 Dimensions

Readers on

mendeley
123 Mendeley
Title
A study on novel filtering and relationship between input-features and target-vectors in a deep learning model for stock price prediction
Published in
Applied Intelligence, October 2018
DOI 10.1007/s10489-018-1308-x
Authors

Yoojeong Song, Jae Won Lee, Jongwoo Lee

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 123 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 13%
Student > Master 16 13%
Researcher 7 6%
Student > Doctoral Student 6 5%
Student > Bachelor 4 3%
Other 17 14%
Unknown 57 46%
Readers by discipline Count As %
Computer Science 30 24%
Economics, Econometrics and Finance 11 9%
Engineering 9 7%
Business, Management and Accounting 5 4%
Mathematics 3 2%
Other 7 6%
Unknown 58 47%
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 15 October 2018.
All research outputs
#17,992,232
of 23,106,390 outputs
Outputs from Applied Intelligence
#736
of 1,705 outputs
Outputs of similar age
#247,194
of 346,173 outputs
Outputs of similar age from Applied Intelligence
#5
of 6 outputs
Altmetric has tracked 23,106,390 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,705 research outputs from this source. They receive a mean Attention Score of 1.0. This one has gotten more attention than average, scoring higher than 56% 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 346,173 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.