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 |
Patient-oriented simulation based on Monte Carlo algorithm by using MRI data
|
---|---|
Published in |
BioMedical Engineering OnLine, April 2012
|
DOI | 10.1186/1475-925x-11-21 |
Pubmed ID | |
Authors |
Ching-Cheng Chuang, Yu-Tzu Lee, Chung-Ming Chen, Yao-Sheng Hsieh, Tsan-Chi Liu, Chia-Wei Sun |
Abstract |
Although Monte Carlo simulations of light propagation in full segmented three-dimensional MRI based anatomical models of the human head have been reported in many articles. To our knowledge, there is no patient-oriented simulation for individualized calibration with NIRS measurement. Thus, we offer an approach for brain modeling based on image segmentation process with in vivo MRI T1 three-dimensional image to investigate the individualized calibration for NIRS measurement with Monte Carlo simulation. |
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 % |
---|---|---|
Mexico | 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Malaysia | 1 | 4% |
Unknown | 26 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 22% |
Researcher | 4 | 15% |
Student > Master | 3 | 11% |
Lecturer > Senior Lecturer | 2 | 7% |
Professor > Associate Professor | 2 | 7% |
Other | 3 | 11% |
Unknown | 7 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 5 | 19% |
Computer Science | 4 | 15% |
Engineering | 4 | 15% |
Physics and Astronomy | 2 | 7% |
Social Sciences | 1 | 4% |
Other | 2 | 7% |
Unknown | 9 | 33% |
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 19 April 2012.
All research outputs
#18,305,445
of 22,664,267 outputs
Outputs from BioMedical Engineering OnLine
#564
of 821 outputs
Outputs of similar age
#124,936
of 161,948 outputs
Outputs of similar age from BioMedical Engineering OnLine
#3
of 10 outputs
Altmetric has tracked 22,664,267 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 821 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 15th percentile – i.e., 15% 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 161,948 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.