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An evidence-based methodology for human rights impact assessment (HRIA) in the development of AI data-intensive systems

Overview of attention for article published in Computer Law & Security Review, July 2021
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#21 of 440)
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
42 tweeters
wikipedia
1 Wikipedia page

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
100 Mendeley
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Title
An evidence-based methodology for human rights impact assessment (HRIA) in the development of AI data-intensive systems
Published in
Computer Law & Security Review, July 2021
DOI 10.1016/j.clsr.2021.105561
Authors

Alessandro Mantelero, Maria Samantha Esposito

Twitter Demographics

The data shown below were collected from the profiles of 42 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 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 100 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 13%
Student > Master 11 11%
Unspecified 8 8%
Student > Bachelor 7 7%
Researcher 5 5%
Other 14 14%
Unknown 42 42%
Readers by discipline Count As %
Social Sciences 18 18%
Computer Science 12 12%
Unspecified 8 8%
Business, Management and Accounting 3 3%
Arts and Humanities 3 3%
Other 17 17%
Unknown 39 39%

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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 15 March 2022.
All research outputs
#984,254
of 21,752,314 outputs
Outputs from Computer Law & Security Review
#21
of 440 outputs
Outputs of similar age
#24,024
of 343,005 outputs
Outputs of similar age from Computer Law & Security Review
#1
of 22 outputs
Altmetric has tracked 21,752,314 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 440 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done particularly well, scoring higher than 95% 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 343,005 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.