↓ Skip to main content

Forex market forecasting using machine learning: Systematic Literature Review and meta-analysis

Overview of attention for article published in Journal of Big Data, January 2023
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
109 Mendeley
Title
Forex market forecasting using machine learning: Systematic Literature Review and meta-analysis
Published in
Journal of Big Data, January 2023
DOI 10.1186/s40537-022-00676-2
Authors

Michael Ayitey Junior, Peter Appiahene, Obed Appiah, Christopher Ninfaakang Bombie

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users 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 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 109 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 17 16%
Student > Master 6 6%
Lecturer 4 4%
Student > Ph. D. Student 4 4%
Professor 3 3%
Other 7 6%
Unknown 68 62%
Readers by discipline Count As %
Unspecified 18 17%
Computer Science 13 12%
Business, Management and Accounting 5 5%
Mathematics 1 <1%
Agricultural and Biological Sciences 1 <1%
Other 1 <1%
Unknown 70 64%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 30 March 2023.
All research outputs
#7,215,750
of 25,084,886 outputs
Outputs from Journal of Big Data
#125
of 377 outputs
Outputs of similar age
#133,811
of 467,373 outputs
Outputs of similar age from Journal of Big Data
#3
of 12 outputs
Altmetric has tracked 25,084,886 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 377 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has gotten more attention than average, scoring higher than 67% 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 467,373 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.