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Blockchain – ICBC 2020

Overview of attention for book
Blockchain – ICBC 2020
Springer International Publishing
Attention for Chapter 10: Analysis of Models for Decentralized and Collaborative AI on Blockchain
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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 (70th percentile)

Mentioned by

twitter
4 X users

Readers on

mendeley
38 Mendeley
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Chapter title
Analysis of Models for Decentralized and Collaborative AI on Blockchain
Chapter number 10
Book title
Blockchain – ICBC 2020
Published in
arXiv, September 2020
DOI 10.1007/978-3-030-59638-5_10
Book ISBNs
978-3-03-059637-8, 978-3-03-059638-5
Authors

Justin D. Harris

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 24%
Student > Ph. D. Student 6 16%
Other 3 8%
Professor 2 5%
Student > Bachelor 1 3%
Other 3 8%
Unknown 14 37%
Readers by discipline Count As %
Computer Science 19 50%
Engineering 2 5%
Business, Management and Accounting 1 3%
Unknown 16 42%
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 26 September 2020.
All research outputs
#14,439,452
of 23,237,082 outputs
Outputs from arXiv
#285,803
of 957,911 outputs
Outputs of similar age
#220,803
of 402,858 outputs
Outputs of similar age from arXiv
#9,890
of 33,445 outputs
Altmetric has tracked 23,237,082 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 957,911 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 69% 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 402,858 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33,445 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 70% of its contemporaries.