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An active preference learning approach to aid the selection of validators in blockchain environments

Overview of attention for article published in Omega, July 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
11 Mendeley
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Title
An active preference learning approach to aid the selection of validators in blockchain environments
Published in
Omega, July 2023
DOI 10.1016/j.omega.2023.102869
Authors

Jonas Gehrlein, Grzegorz Miebs, Matteo Brunelli, Miłosz Kadziński

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 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 %
Researcher 3 27%
Unspecified 1 9%
Student > Ph. D. Student 1 9%
Student > Postgraduate 1 9%
Unknown 5 45%
Readers by discipline Count As %
Unspecified 1 9%
Business, Management and Accounting 1 9%
Computer Science 1 9%
Decision Sciences 1 9%
Chemistry 1 9%
Other 0 0%
Unknown 6 55%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 06 April 2023.
All research outputs
#14,292,486
of 25,394,764 outputs
Outputs from Omega
#182
of 402 outputs
Outputs of similar age
#142,361
of 370,193 outputs
Outputs of similar age from Omega
#2
of 5 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 402 research outputs from this source. They receive a mean Attention Score of 4.1. This one has gotten more attention than average, scoring higher than 53% 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 370,193 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.