| Title |
Ethical principles for the application of artificial intelligence (AI) in nuclear medicine
|
|---|---|
| Published in |
European Journal of Nuclear Medicine and Molecular Imaging, January 2020
|
| DOI | 10.1007/s00259-020-04678-1 |
| Pubmed ID | |
| Authors |
Geoff Currie, K Elizabeth Hawk, Eric M. Rohren |
X Demographics
The data shown below were collected from the profiles of 17 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 States | 5 | 29% |
| Australia | 3 | 18% |
| Saudi Arabia | 2 | 12% |
| Ireland | 1 | 6% |
| India | 1 | 6% |
| Unknown | 5 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 59% |
| Scientists | 3 | 18% |
| Practitioners (doctors, other healthcare professionals) | 2 | 12% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
| Unknown | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 132 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 11% |
| Researcher | 11 | 8% |
| Student > Bachelor | 11 | 8% |
| Student > Master | 9 | 7% |
| Professor > Associate Professor | 7 | 5% |
| Other | 23 | 17% |
| Unknown | 57 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 15 | 11% |
| Medicine and Dentistry | 14 | 11% |
| Business, Management and Accounting | 9 | 7% |
| Nursing and Health Professions | 4 | 3% |
| Engineering | 4 | 3% |
| Other | 24 | 18% |
| Unknown | 62 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 June 2023.
All research outputs
#2,036,274
of 25,397,764 outputs
Outputs from European Journal of Nuclear Medicine and Molecular Imaging
#122
of 3,521 outputs
Outputs of similar age
#48,825
of 473,543 outputs
Outputs of similar age from European Journal of Nuclear Medicine and Molecular Imaging
#9
of 79 outputs
Altmetric has tracked 25,397,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,521 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done particularly well, scoring higher than 96% 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 473,543 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 79 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.