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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Deep Semi-supervised Segmentation with Weight-Averaged Consistency Targets
|
---|---|
Chapter number | 2 |
Book title |
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support
|
Published in |
arXiv, September 2018
|
DOI | 10.1007/978-3-030-00889-5_2 |
Book ISBNs |
978-3-03-000888-8, 978-3-03-000889-5
|
Authors |
Christian S. Perone, Julien Cohen-Adad, Perone, Christian S., Cohen-Adad, Julien |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | 14% |
United Kingdom | 1 | 14% |
Unknown | 5 | 71% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 71% |
Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 64 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 20% |
Student > Master | 12 | 19% |
Researcher | 9 | 14% |
Student > Bachelor | 3 | 5% |
Student > Postgraduate | 3 | 5% |
Other | 6 | 9% |
Unknown | 18 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 32 | 50% |
Engineering | 10 | 16% |
Neuroscience | 1 | 2% |
Mathematics | 1 | 2% |
Unknown | 20 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 11 March 2020.
All research outputs
#6,059,904
of 24,002,307 outputs
Outputs from arXiv
#123,676
of 1,011,770 outputs
Outputs of similar age
#103,212
of 345,427 outputs
Outputs of similar age from arXiv
#3,372
of 24,980 outputs
Altmetric has tracked 24,002,307 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 1,011,770 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 87% 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 345,427 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 69% of its contemporaries.
We're also able to compare this research output to 24,980 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.