| Title |
Implicit domain adaptation with conditional generative adversarial networks for depth prediction in endoscopy
|
|---|---|
| Published in |
International Journal of Computer Assisted Radiology and Surgery, April 2019
|
| DOI | 10.1007/s11548-019-01962-w |
| Pubmed ID | |
| Authors |
Anita Rau, P. J. Eddie Edwards, Omer F. Ahmad, Paul Riordan, Mirek Janatka, Laurence B. Lovat, Danail Stoyanov |
X Demographics
The data shown below were collected from the profiles of 6 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 | 4 | 67% |
| France | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 117 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 15% |
| Student > Master | 18 | 15% |
| Researcher | 11 | 9% |
| Student > Bachelor | 8 | 7% |
| Student > Doctoral Student | 7 | 6% |
| Other | 15 | 13% |
| Unknown | 40 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 31 | 26% |
| Computer Science | 17 | 15% |
| Medicine and Dentistry | 12 | 10% |
| Unspecified | 4 | 3% |
| Nursing and Health Professions | 3 | 3% |
| Other | 4 | 3% |
| Unknown | 46 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 21 July 2022.
All research outputs
#4,524,777
of 22,888,307 outputs
Outputs from International Journal of Computer Assisted Radiology and Surgery
#75
of 849 outputs
Outputs of similar age
#94,923
of 350,126 outputs
Outputs of similar age from International Journal of Computer Assisted Radiology and Surgery
#2
of 33 outputs
Altmetric has tracked 22,888,307 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 849 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 91% 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 350,126 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 72% of its contemporaries.
We're also able to compare this research output to 33 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 93% of its contemporaries.