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Machine learning in predicting stock indexes: the role of online stock forum sentiment in MIDAS model

Overview of attention for article published in Asia-Pacific Journal of Accounting & Economics, May 2023
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1 X user

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11 Mendeley
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Title
Machine learning in predicting stock indexes: the role of online stock forum sentiment in MIDAS model
Published in
Asia-Pacific Journal of Accounting & Economics, May 2023
DOI 10.1080/16081625.2023.2215234
Authors

Lei Wang, Zhong-Chao Zhao, Yin-Che Weng

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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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 18%
Lecturer 2 18%
Student > Ph. D. Student 1 9%
Researcher 1 9%
Unknown 5 45%
Readers by discipline Count As %
Economics, Econometrics and Finance 3 27%
Computer Science 1 9%
Social Sciences 1 9%
Engineering 1 9%
Unknown 5 45%
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 25 May 2023.
All research outputs
#21,176,998
of 23,838,611 outputs
Outputs from Asia-Pacific Journal of Accounting & Economics
#25
of 33 outputs
Outputs of similar age
#152,038
of 196,632 outputs
Outputs of similar age from Asia-Pacific Journal of Accounting & Economics
#1
of 1 outputs
Altmetric has tracked 23,838,611 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 33 research outputs from this source. They receive a mean Attention Score of 2.3. This one scored the same or higher as 8 of them.
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 196,632 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them