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Efficient Realistic Data Generation Framework leveraging Deep Learning-based Human Digitization

Overview of attention for book
Efficient Realistic Data Generation Framework leveraging Deep Learning-based Human Digitization
Springer International Publishing
Attention for Chapter 40: Do Weibo Platform Experts Perform Better at Predicting Stock Market?
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Mentioned by

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1 X user

Citations

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2 Dimensions

Readers on

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2 Mendeley
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Chapter title
Do Weibo Platform Experts Perform Better at Predicting Stock Market?
Chapter number 40
Book title
Proceedings of the 22nd Engineering Applications of Neural Networks Conference
Published in
arXiv, July 2021
DOI 10.1007/978-3-030-80568-5_40
Book ISBNs
978-3-03-080567-8, 978-3-03-080568-5
Authors

Ziyuan Ma, Conor Ryan, Jim Buckley, Muslim Chochlov, Ma, Ziyuan, Ryan, Conor, Buckley, Jim, Chochlov, Muslim

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

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 50%
Student > Master 1 50%
Readers by discipline Count As %
Computer Science 2 100%
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 05 March 2024.
All research outputs
#22,796,308
of 25,416,581 outputs
Outputs from arXiv
#674,760
of 917,500 outputs
Outputs of similar age
#388,612
of 453,721 outputs
Outputs of similar age from arXiv
#19,807
of 27,210 outputs
Altmetric has tracked 25,416,581 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 917,500 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 1st percentile – i.e., 1% 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 453,721 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 27,210 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.