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Artificial Intelligence Research

Overview of attention for book
Artificial Intelligence Research
Springer International Publishing
Attention for Chapter: A Taxonomy of Explainable Bayesian Networks
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
36 Mendeley
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Chapter title
A Taxonomy of Explainable Bayesian Networks
Book title
Communications in Computer and Information Science
Published in
arXiv, December 2020
DOI 10.1007/978-3-030-66151-9_14
Book ISBNs
978-3-03-066150-2, 978-3-03-066151-9
Authors

Iena Petronella Derks, Alta de Waal, Derks, Iena Petronella, de Waal, Alta

Timeline

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

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 14%
Other 3 8%
Researcher 3 8%
Student > Master 3 8%
Student > Bachelor 2 6%
Other 1 3%
Unknown 19 53%
Readers by discipline Count As %
Computer Science 9 25%
Biochemistry, Genetics and Molecular Biology 2 6%
Engineering 2 6%
Business, Management and Accounting 1 3%
Decision Sciences 1 3%
Other 1 3%
Unknown 20 56%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 01 November 2021.
All research outputs
#14,683,430
of 23,511,526 outputs
Outputs from arXiv
#294,020
of 972,877 outputs
Outputs of similar age
#270,918
of 505,124 outputs
Outputs of similar age from arXiv
#9,277
of 31,975 outputs
Altmetric has tracked 23,511,526 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 972,877 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 65% 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 505,124 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31,975 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 67% of its contemporaries.