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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Improving Lesion Segmentation for Diabetic Retinopathy Using Adversarial Learning
|
---|---|
Chapter number | 29 |
Book title |
Image Analysis and Recognition
|
Published in |
arXiv, August 2019
|
DOI | 10.1007/978-3-030-27272-2_29 |
Book ISBNs |
978-3-03-027271-5, 978-3-03-027272-2
|
Authors |
Qiqi Xiao, Jiaxu Zou, Muqiao Yang, Alex Gaudio, Kris Kitani, Asim Smailagic, Pedro Costa, Min Xu, Xiao, Qiqi, Zou, Jiaxu, Yang, Muqiao, Gaudio, Alex, Kitani, Kris, Smailagic, Asim, Costa, Pedro, Xu, Min |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 34 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 29% |
Student > Master | 4 | 12% |
Student > Bachelor | 3 | 9% |
Lecturer | 1 | 3% |
Professor | 1 | 3% |
Other | 1 | 3% |
Unknown | 14 | 41% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 13 | 38% |
Engineering | 3 | 9% |
Mathematics | 1 | 3% |
Medicine and Dentistry | 1 | 3% |
Social Sciences | 1 | 3% |
Other | 0 | 0% |
Unknown | 15 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 30 July 2020.
All research outputs
#14,997,834
of 23,072,295 outputs
Outputs from arXiv
#325,608
of 948,209 outputs
Outputs of similar age
#198,802
of 340,095 outputs
Outputs of similar age from arXiv
#10,482
of 28,086 outputs
Altmetric has tracked 23,072,295 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 948,209 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 60% 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 340,095 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28,086 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.