| Title |
Can we program or train robots to be good?
|
|---|---|
| Published in |
Ethics and Information Technology, May 2017
|
| DOI | 10.1007/s10676-017-9425-5 |
| Authors |
Amanda Sharkey |
X Demographics
The data shown below were collected from the profiles of 32 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 | 8 | 25% |
| Netherlands | 5 | 16% |
| United States | 2 | 6% |
| Ireland | 1 | 3% |
| Australia | 1 | 3% |
| Sweden | 1 | 3% |
| Indonesia | 1 | 3% |
| Unknown | 13 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 21 | 66% |
| Scientists | 9 | 28% |
| 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 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 79 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 14 | 18% |
| Student > Ph. D. Student | 10 | 13% |
| Researcher | 8 | 10% |
| Professor | 6 | 8% |
| Student > Bachelor | 6 | 8% |
| Other | 18 | 23% |
| Unknown | 17 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 16 | 20% |
| Philosophy | 8 | 10% |
| Social Sciences | 8 | 10% |
| Arts and Humanities | 5 | 6% |
| Business, Management and Accounting | 5 | 6% |
| Other | 19 | 24% |
| Unknown | 18 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 06 May 2020.
All research outputs
#1,857,084
of 25,837,817 outputs
Outputs from Ethics and Information Technology
#67
of 450 outputs
Outputs of similar age
#34,445
of 328,475 outputs
Outputs of similar age from Ethics and Information Technology
#2
of 5 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 450 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.7. This one has done well, scoring higher than 84% 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 328,475 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.