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A novel multi-source information-fusion predictive framework based on deep neural networks for accuracy enhancement in stock market prediction

Overview of attention for article published in Journal of Big Data, January 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
51 Dimensions

Readers on

mendeley
100 Mendeley
Title
A novel multi-source information-fusion predictive framework based on deep neural networks for accuracy enhancement in stock market prediction
Published in
Journal of Big Data, January 2021
DOI 10.1186/s40537-020-00400-y
Authors

Isaac Kofi Nti, Adebayo Felix Adekoya, Benjamin Asubam Weyori

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 100 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 13%
Student > Master 8 8%
Lecturer 7 7%
Student > Doctoral Student 4 4%
Student > Bachelor 4 4%
Other 10 10%
Unknown 54 54%
Readers by discipline Count As %
Computer Science 26 26%
Business, Management and Accounting 8 8%
Economics, Econometrics and Finance 4 4%
Unspecified 2 2%
Mathematics 2 2%
Other 3 3%
Unknown 55 55%
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 27 May 2023.
All research outputs
#6,926,167
of 25,126,845 outputs
Outputs from Journal of Big Data
#119
of 378 outputs
Outputs of similar age
#159,471
of 517,897 outputs
Outputs of similar age from Journal of Big Data
#9
of 21 outputs
Altmetric has tracked 25,126,845 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 378 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 68% 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 517,897 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 69% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.