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Survey of feature selection and extraction techniques for stock market prediction

Overview of attention for article published in Financial Innovation, January 2023
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Mentioned by

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1 X user

Citations

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32 Dimensions

Readers on

mendeley
138 Mendeley
Title
Survey of feature selection and extraction techniques for stock market prediction
Published in
Financial Innovation, January 2023
DOI 10.1186/s40854-022-00441-7
Pubmed ID
Authors

Htet Htet Htun, Michael Biehl, Nicolai Petkov

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 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 138 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 9%
Student > Master 10 7%
Student > Bachelor 8 6%
Researcher 7 5%
Lecturer 5 4%
Other 10 7%
Unknown 85 62%
Readers by discipline Count As %
Computer Science 26 19%
Engineering 7 5%
Economics, Econometrics and Finance 5 4%
Mathematics 3 2%
Business, Management and Accounting 3 2%
Other 4 3%
Unknown 90 65%
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 12 January 2023.
All research outputs
#19,808,074
of 24,341,979 outputs
Outputs from Financial Innovation
#150
of 179 outputs
Outputs of similar age
#326,993
of 448,711 outputs
Outputs of similar age from Financial Innovation
#11
of 17 outputs
Altmetric has tracked 24,341,979 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 179 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 9th percentile – i.e., 9% 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 448,711 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.