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Retinal image synthesis from multiple-landmarks input with generative adversarial networks

Overview of attention for article published in BioMedical Engineering OnLine, May 2019
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Mentioned by

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1 X user

Citations

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71 Dimensions

Readers on

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82 Mendeley
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Title
Retinal image synthesis from multiple-landmarks input with generative adversarial networks
Published in
BioMedical Engineering OnLine, May 2019
DOI 10.1186/s12938-019-0682-x
Pubmed ID
Authors

Zekuan Yu, Qing Xiang, Jiahao Meng, Caixia Kou, Qiushi Ren, Yanye Lu

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 82 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 13%
Student > Master 11 13%
Student > Doctoral Student 6 7%
Lecturer 5 6%
Student > Bachelor 4 5%
Other 12 15%
Unknown 33 40%
Readers by discipline Count As %
Computer Science 18 22%
Engineering 11 13%
Medicine and Dentistry 5 6%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Physics and Astronomy 2 2%
Other 5 6%
Unknown 39 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 25 May 2019.
All research outputs
#20,571,435
of 23,148,322 outputs
Outputs from BioMedical Engineering OnLine
#694
of 827 outputs
Outputs of similar age
#298,776
of 350,452 outputs
Outputs of similar age from BioMedical Engineering OnLine
#9
of 11 outputs
Altmetric has tracked 23,148,322 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 827 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 350,452 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.