You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Grey Matter Sublayer Thickness Estimation in the Mouse Cerebellum
|
---|---|
Chapter number | 77 |
Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015
|
Published in |
arXiv, January 2015
|
DOI | 10.1007/978-3-319-24574-4_77 |
Book ISBNs |
978-3-31-924573-7, 978-3-31-924574-4, 978-3-31-924573-7, 978-3-31-924574-4
|
Authors |
Da Ma, Manuel J. Cardoso, Maria A. Zuluaga, Marc Modat, Nick Powell, Frances Wiseman, Victor Tybulewicz, Elizabeth Fisher, Mark F. Lythgoe, Sébastien Ourselin, Ma, D, Cardoso, MJ, Zuluaga, MA, Modat, M, Powell, N, Wiseman, F, Tybulewicz, V, Fisher, E, Lythgoe, MF, Ourselin, S, Nick. Powell, Mark. F. Lythgoe, Sebastien Ourselin |
Editors |
Nassir Navab, Joachim Hornegger, William M. Wells, Alejandro F. Frangi |
X Demographics
The data shown below were collected from the profiles of 9 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 | 5 | 56% |
Netherlands | 1 | 11% |
Unknown | 3 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 89% |
Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 25% |
Student > Postgraduate | 2 | 17% |
Researcher | 2 | 17% |
Professor | 1 | 8% |
Lecturer > Senior Lecturer | 1 | 8% |
Other | 1 | 8% |
Unknown | 2 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 25% |
Engineering | 2 | 17% |
Agricultural and Biological Sciences | 1 | 8% |
Neuroscience | 1 | 8% |
Medicine and Dentistry | 1 | 8% |
Other | 0 | 0% |
Unknown | 4 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 16 February 2019.
All research outputs
#8,022,012
of 24,998,746 outputs
Outputs from arXiv
#164,872
of 1,020,287 outputs
Outputs of similar age
#104,690
of 364,470 outputs
Outputs of similar age from arXiv
#1,164
of 11,548 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 67th 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 83% 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 364,470 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 71% of its contemporaries.
We're also able to compare this research output to 11,548 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.