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Attention Score in Context
Title |
Convolutional autoencoder joint boundary and mask adversarial learning for fundus image segmentation
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Published in |
Frontiers in Human Neuroscience, December 2022
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DOI | 10.3389/fnhum.2022.1043569 |
Pubmed ID | |
Authors |
Xu Zhang, Jiaqi Song, Chengrui Wang, Zhen Zhou |
X Demographics
Geographical breakdown
Country | Count | As % |
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Switzerland | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
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 19 December 2022.
All research outputs
#20,771,854
of 23,377,816 outputs
Outputs from Frontiers in Human Neuroscience
#6,637
of 7,279 outputs
Outputs of similar age
#348,964
of 440,182 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#109
of 142 outputs
Altmetric has tracked 23,377,816 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 7,279 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. 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 440,182 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 142 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.