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Three Ethical Challenges of Applications of Artificial Intelligence in Cybersecurity

Overview of attention for article published in Minds & Machines, June 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)

Mentioned by

twitter
5 tweeters

Readers on

mendeley
6 Mendeley
Title
Three Ethical Challenges of Applications of Artificial Intelligence in Cybersecurity
Published in
Minds & Machines, June 2019
DOI 10.1007/s11023-019-09504-8
Authors

Mariarosaria Taddeo

Twitter Demographics

The data shown below were collected from the profiles of 5 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 17%
Other 1 17%
Student > Ph. D. Student 1 17%
Student > Doctoral Student 1 17%
Researcher 1 17%
Other 1 17%
Readers by discipline Count As %
Philosophy 1 17%
Business, Management and Accounting 1 17%
Decision Sciences 1 17%
Energy 1 17%
Social Sciences 1 17%
Other 1 17%

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 30 June 2019.
All research outputs
#6,698,089
of 13,304,303 outputs
Outputs from Minds & Machines
#87
of 173 outputs
Outputs of similar age
#76,472
of 201,842 outputs
Outputs of similar age from Minds & Machines
#1
of 1 outputs
Altmetric has tracked 13,304,303 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 173 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 49th percentile – i.e., 49% 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 201,842 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 61% of its contemporaries.
We're also able to compare this research output to 1 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