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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Semi-automated Virtual Unfolded View Generation Method of Stomach from CT Volumes
|
---|---|
Chapter number | 42 |
Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013
|
Published in |
arXiv, September 2013
|
DOI | 10.1007/978-3-642-40811-3_42 |
Pubmed ID | |
Book ISBNs |
978-3-64-240810-6, 978-3-64-240811-3
|
Authors |
Masahiro Oda, Tomoaki Suito, Yuichiro Hayashi, Takayuki Kitasaka, Kazuhiro Furukawa, Ryoji Miyahara, Yoshiki Hirooka, Hidemi Goto, Gen Iinuma, Kazunari Misawa, Shigeru Nawano, Kensaku Mori, Oda, Masahiro, Suito, Tomoaki, Hayashi, Yuichiro, Kitasaka, Takayuki, Furukawa, Kazuhiro, Miyahara, Ryoji, Hirooka, Yoshiki, Goto, Hidemi, Iinuma, Gen, Misawa, Kazunari, Nawano, Shigeru, Mori, Kensaku |
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 % |
---|---|---|
Netherlands | 1 | 17% |
Japan | 1 | 17% |
Unknown | 4 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 83% |
Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 18 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 22% |
Student > Ph. D. Student | 3 | 17% |
Student > Master | 3 | 17% |
Professor | 2 | 11% |
Professor > Associate Professor | 2 | 11% |
Other | 2 | 11% |
Unknown | 2 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 33% |
Medicine and Dentistry | 5 | 28% |
Engineering | 2 | 11% |
Earth and Planetary Sciences | 1 | 6% |
Agricultural and Biological Sciences | 1 | 6% |
Other | 0 | 0% |
Unknown | 3 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 17 January 2022.
All research outputs
#14,095,539
of 24,093,053 outputs
Outputs from arXiv
#219,358
of 1,018,817 outputs
Outputs of similar age
#107,880
of 206,886 outputs
Outputs of similar age from arXiv
#1,058
of 10,036 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,018,817 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 77% 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 206,886 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10,036 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.