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Forecasting directional movement of Forex data using LSTM with technical and macroeconomic indicators

Overview of attention for article published in Financial Innovation, January 2021
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1 X user

Citations

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99 Dimensions

Readers on

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170 Mendeley
Title
Forecasting directional movement of Forex data using LSTM with technical and macroeconomic indicators
Published in
Financial Innovation, January 2021
DOI 10.1186/s40854-020-00220-2
Authors

Deniz Can Yıldırım, Ismail Hakkı Toroslu, Ugo Fiore

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

Geographical breakdown

Country Count As %
Unknown 170 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 14%
Lecturer 12 7%
Student > Doctoral Student 12 7%
Student > Ph. D. Student 10 6%
Researcher 9 5%
Other 26 15%
Unknown 78 46%
Readers by discipline Count As %
Computer Science 32 19%
Economics, Econometrics and Finance 14 8%
Engineering 12 7%
Unspecified 9 5%
Business, Management and Accounting 8 5%
Other 13 8%
Unknown 82 48%
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 29 June 2021.
All research outputs
#16,987,946
of 24,970,913 outputs
Outputs from Financial Innovation
#103
of 186 outputs
Outputs of similar age
#318,421
of 517,037 outputs
Outputs of similar age from Financial Innovation
#5
of 6 outputs
Altmetric has tracked 24,970,913 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 186 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 19th percentile – i.e., 19% 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 517,037 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% 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.