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Programming Machine Ethics by Luís Moniz Pereira and Ari Saptawijaya

Overview of attention for article published in AI & SOCIETY, March 2017
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Mentioned by

twitter
1 X user
facebook
1 Facebook page

Readers on

mendeley
13 Mendeley
Title
Programming Machine Ethics by Luís Moniz Pereira and Ari Saptawijaya
Published in
AI & SOCIETY, March 2017
DOI 10.1007/s00146-017-0690-y
Authors

Robert Kowalski

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 31%
Student > Bachelor 2 15%
Student > Doctoral Student 1 8%
Student > Master 1 8%
Unknown 5 38%
Readers by discipline Count As %
Computer Science 4 31%
Engineering 2 15%
Biochemistry, Genetics and Molecular Biology 1 8%
Agricultural and Biological Sciences 1 8%
Arts and Humanities 1 8%
Other 0 0%
Unknown 4 31%
Attention Score in Context

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 09 March 2017.
All research outputs
#19,015,393
of 24,217,893 outputs
Outputs from AI & SOCIETY
#632
of 760 outputs
Outputs of similar age
#229,753
of 314,208 outputs
Outputs of similar age from AI & SOCIETY
#16
of 18 outputs
Altmetric has tracked 24,217,893 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 760 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 15th percentile – i.e., 15% 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 314,208 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.