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Implicit domain adaptation with conditional generative adversarial networks for depth prediction in endoscopy

Overview of attention for article published in International Journal of Computer Assisted Radiology and Surgery, April 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
6 tweeters

Readers on

mendeley
12 Mendeley
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

Twitter Demographics

The data shown below were collected from the profiles of 6 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 25%
Student > Ph. D. Student 3 25%
Student > Master 2 17%
Researcher 1 8%
Student > Postgraduate 1 8%
Other 2 17%
Readers by discipline Count As %
Unspecified 5 42%
Engineering 4 33%
Computer Science 2 17%
Chemical Engineering 1 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 03 July 2019.
All research outputs
#3,443,602
of 13,322,622 outputs
Outputs from International Journal of Computer Assisted Radiology and Surgery
#63
of 370 outputs
Outputs of similar age
#87,412
of 252,689 outputs
Outputs of similar age from International Journal of Computer Assisted Radiology and Surgery
#4
of 18 outputs
Altmetric has tracked 13,322,622 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 370 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done well, scoring higher than 82% 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 252,689 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 65% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.