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1st MICCAI workshop on deep learning in medical image analysis

Overview of attention for article published in Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, April 2018
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1 X user
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28 Mendeley
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Title
1st MICCAI workshop on deep learning in medical image analysis
Published in
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, April 2018
DOI 10.1080/21681163.2018.1457242
Authors

Gustavo Carneiro, João Manuel R. S. Tavares, Andrew P. Bradley, João Paulo Papa, Jacinto C. Nascimento, Jaime S. Cardoso, Zhi Lu, Vasileios Belagiannis

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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 6 21%
Professor 4 14%
Student > Master 2 7%
Researcher 2 7%
Student > Ph. D. Student 1 4%
Other 3 11%
Unknown 10 36%
Readers by discipline Count As %
Engineering 7 25%
Computer Science 6 21%
Unknown 15 54%
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 12 April 2018.
All research outputs
#19,951,180
of 25,382,440 outputs
Outputs from Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
#148
of 698 outputs
Outputs of similar age
#252,241
of 343,387 outputs
Outputs of similar age from Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
#5
of 18 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 698 research outputs from this source. They receive a mean Attention Score of 1.1. This one has gotten more attention than average, scoring higher than 52% 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 343,387 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
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 is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.