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X Demographics
Mendeley readers
Attention Score in Context
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 |
X Demographics
The data shown below were collected from the profiles of 39 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 5 | 13% |
United States | 4 | 10% |
Belgium | 3 | 8% |
Colombia | 2 | 5% |
Italy | 1 | 3% |
France | 1 | 3% |
Brazil | 1 | 3% |
Nigeria | 1 | 3% |
Netherlands | 1 | 3% |
Other | 3 | 8% |
Unknown | 17 | 44% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 31 | 79% |
Scientists | 6 | 15% |
Science communicators (journalists, bloggers, editors) | 1 | 3% |
Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 246 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 246 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 23 | 9% |
Student > Bachelor | 19 | 8% |
Student > Ph. D. Student | 16 | 7% |
Researcher | 12 | 5% |
Lecturer | 11 | 4% |
Other | 28 | 11% |
Unknown | 137 | 56% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 26 | 11% |
Computer Science | 21 | 9% |
Engineering | 15 | 6% |
Business, Management and Accounting | 10 | 4% |
Nursing and Health Professions | 6 | 2% |
Other | 31 | 13% |
Unknown | 137 | 56% |
Attention Score in Context
This research output has an Altmetric Attention Score of 31. 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 17 January 2024.
All research outputs
#1,294,969
of 25,714,183 outputs
Outputs from Computer Law & Security Review
#35
of 538 outputs
Outputs of similar age
#32,296
of 455,612 outputs
Outputs of similar age from Computer Law & Security Review
#2
of 22 outputs
Altmetric has tracked 25,714,183 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 538 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done particularly well, scoring higher than 93% 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 455,612 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 90% of its contemporaries.