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 |
Learning a Sparse Database for Patch-Based Medical Image Segmentation
|
---|---|
Chapter number | 6 |
Book title |
Patch-Based Techniques in Medical Imaging
|
Published in |
arXiv, September 2017
|
DOI | 10.1007/978-3-319-67434-6_6 |
Book ISBNs |
978-3-31-967433-9, 978-3-31-967434-6
|
Authors |
Moti Freiman, Hannes Nickisch, Holger Schmitt, Pal Maurovich-Horvat, Patrick Donnelly, Mani Vembar, Liran Goshen |
X Demographics
The data shown below were collected from the profiles of 3 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 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 10 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Lecturer > Senior Lecturer | 2 | 20% |
Student > Ph. D. Student | 2 | 20% |
Researcher | 2 | 20% |
Student > Master | 2 | 20% |
Librarian | 1 | 10% |
Other | 0 | 0% |
Unknown | 1 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 60% |
Medicine and Dentistry | 1 | 10% |
Engineering | 1 | 10% |
Unknown | 2 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 26 June 2019.
All research outputs
#19,611,910
of 24,980,180 outputs
Outputs from arXiv
#470,474
of 1,018,032 outputs
Outputs of similar age
#235,153
of 321,545 outputs
Outputs of similar age from arXiv
#12,725
of 18,078 outputs
Altmetric has tracked 24,980,180 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,018,032 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
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 321,545 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18,078 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.