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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Standard Plane Detection in 3D Fetal Ultrasound Using an Iterative Transformation Network
|
---|---|
Chapter number | 45 |
Book title |
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018
|
Published in |
arXiv, September 2018
|
DOI | 10.1007/978-3-030-00928-1_45 |
Book ISBNs |
978-3-03-000927-4, 978-3-03-000928-1
|
Authors |
Yuanwei Li, Bishesh Khanal, Benjamin Hou, Amir Alansary, Juan J. Cerrolaza, Matthew Sinclair, Jacqueline Matthew, Chandni Gupta, Caroline Knight, Bernhard Kainz, Daniel Rueckert, Li, Yuanwei, Khanal, Bishesh, Hou, Benjamin, Alansary, Amir, Cerrolaza, Juan J., Sinclair, Matthew, Matthew, Jacqueline, Gupta, Chandni, Knight, Caroline, Kainz, Bernhard, Rueckert, Daniel |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 33% |
Unknown | 4 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 67% |
Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 71 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 14 | 20% |
Researcher | 10 | 14% |
Student > Master | 7 | 10% |
Student > Doctoral Student | 4 | 6% |
Student > Bachelor | 3 | 4% |
Other | 9 | 13% |
Unknown | 24 | 34% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 20 | 28% |
Engineering | 11 | 15% |
Medicine and Dentistry | 4 | 6% |
Nursing and Health Professions | 3 | 4% |
Biochemistry, Genetics and Molecular Biology | 2 | 3% |
Other | 4 | 6% |
Unknown | 27 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 August 2022.
All research outputs
#6,790,997
of 24,998,746 outputs
Outputs from arXiv
#132,410
of 1,020,287 outputs
Outputs of similar age
#102,608
of 316,938 outputs
Outputs of similar age from arXiv
#3,292
of 22,077 outputs
Altmetric has tracked 24,998,746 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,020,287 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 86% 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 316,938 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 67% of its contemporaries.
We're also able to compare this research output to 22,077 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.