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Algorithmic Dispute Resolution—The Automation of Professional Dispute Resolution Using AI and Blockchain Technologies

Overview of attention for article published in Computer Journal, November 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#26 of 725)
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
13 X users
patent
4 patents

Citations

dimensions_citation
47 Dimensions

Readers on

mendeley
216 Mendeley
Title
Algorithmic Dispute Resolution—The Automation of Professional Dispute Resolution Using AI and Blockchain Technologies
Published in
Computer Journal, November 2017
DOI 10.1093/comjnl/bxx103
Authors

Jeremy Barnett, Philip Treleaven

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 216 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 216 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 34 16%
Student > Ph. D. Student 22 10%
Student > Doctoral Student 13 6%
Student > Bachelor 13 6%
Lecturer 9 4%
Other 35 16%
Unknown 90 42%
Readers by discipline Count As %
Social Sciences 27 13%
Computer Science 24 11%
Engineering 22 10%
Business, Management and Accounting 19 9%
Economics, Econometrics and Finance 5 2%
Other 24 11%
Unknown 95 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 19 September 2023.
All research outputs
#2,708,407
of 25,411,814 outputs
Outputs from Computer Journal
#26
of 725 outputs
Outputs of similar age
#51,218
of 342,705 outputs
Outputs of similar age from Computer Journal
#1
of 7 outputs
Altmetric has tracked 25,411,814 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 725 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 96% 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 342,705 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them