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
| Title |
Fast level‐set based image segmentation using coherent propagation
|
|---|---|
| Published in |
Medical Physics, June 2014
|
| DOI | 10.1118/1.4881315 |
| Pubmed ID | |
| Authors |
Chunliang Wang, Hans Frimmel, Örjan Smedby |
| Abstract |
The level-set method is known to require long computation time for 3D image segmentation, which limits its usage in clinical workflow. The goal of this study was to develop a fast level-set algorithm based on the coherent propagation method and explore its character using clinical datasets. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 24% |
| Student > Master | 8 | 21% |
| Student > Ph. D. Student | 7 | 18% |
| Other | 1 | 3% |
| Lecturer | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 8 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 11 | 29% |
| Computer Science | 7 | 18% |
| Medicine and Dentistry | 3 | 8% |
| Agricultural and Biological Sciences | 2 | 5% |
| Nursing and Health Professions | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 10 | 26% |
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 09 June 2014.
All research outputs
#20,656,161
of 25,373,627 outputs
Outputs from Medical Physics
#6,405
of 7,984 outputs
Outputs of similar age
#178,242
of 243,425 outputs
Outputs of similar age from Medical Physics
#77
of 138 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,984 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 9th percentile – i.e., 9% 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 243,425 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 138 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.