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Formalizing value-guided argumentation for ethical systems design

Overview of attention for article published in Artificial Intelligence & Law, November 2016
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
20 Mendeley
Title
Formalizing value-guided argumentation for ethical systems design
Published in
Artificial Intelligence & Law, November 2016
DOI 10.1007/s10506-016-9189-y
Authors

Bart Verheij

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 40%
Other 3 15%
Student > Bachelor 2 10%
Researcher 2 10%
Lecturer 1 5%
Other 1 5%
Unknown 3 15%
Readers by discipline Count As %
Business, Management and Accounting 4 20%
Social Sciences 4 20%
Computer Science 3 15%
Engineering 3 15%
Economics, Econometrics and Finance 2 10%
Other 2 10%
Unknown 2 10%

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 01 December 2016.
All research outputs
#7,698,271
of 12,319,703 outputs
Outputs from Artificial Intelligence & Law
#63
of 116 outputs
Outputs of similar age
#127,653
of 227,984 outputs
Outputs of similar age from Artificial Intelligence & Law
#4
of 6 outputs
Altmetric has tracked 12,319,703 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 116 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 32nd percentile – i.e., 32% 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 227,984 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.