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The International Conference on Deep Learning, Big Data and Blockchain (Deep-BDB 2021)

Overview of attention for book
Attention for Chapter 13: A Practical and Economical Bayesian Approach to Gas Price Prediction
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Mentioned by

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1 X user

Citations

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2 Dimensions

Readers on

mendeley
8 Mendeley
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Chapter title
A Practical and Economical Bayesian Approach to Gas Price Prediction
Chapter number 13
Book title
The International Conference on Deep Learning, Big Data and Blockchain (Deep-BDB 2021)
Published in
arXiv, January 2022
DOI 10.1007/978-3-030-84337-3_13
Book ISBNs
978-3-03-084336-6, 978-3-03-084337-3
Authors

Chuang, ChihYun, Lee, TingFang, ChihYun Chuang, TingFang Lee

Timeline

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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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 25%
Student > Ph. D. Student 1 13%
Unknown 5 63%
Readers by discipline Count As %
Unspecified 2 25%
Unknown 6 75%
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 May 2023.
All research outputs
#21,030,897
of 23,668,780 outputs
Outputs from arXiv
#695,321
of 979,105 outputs
Outputs of similar age
#421,837
of 514,075 outputs
Outputs of similar age from arXiv
#22,482
of 33,251 outputs
Altmetric has tracked 23,668,780 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 979,105 research outputs from this source. They receive a mean Attention Score of 4.0. 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 514,075 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 33,251 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.