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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An automated and simple method for brain MR image extraction
|
|---|---|
| Published in |
BioMedical Engineering OnLine, September 2011
|
| DOI | 10.1186/1475-925x-10-81 |
| Pubmed ID | |
| Authors |
Haiyan Zhang, Jiafeng Liu, Zixin Zhu, Haiyun Li |
| Abstract |
The extraction of brain tissue from magnetic resonance head images, is an important image processing step for the analyses of neuroimage data. The authors have developed an automated and simple brain extraction method using an improved geometric active contour model. |
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 % |
|---|---|---|
| Unknown | 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | 3% |
| Indonesia | 1 | 3% |
| Pakistan | 1 | 3% |
| India | 1 | 3% |
| United States | 1 | 3% |
| Unknown | 24 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 24% |
| Student > Master | 7 | 24% |
| Researcher | 5 | 17% |
| Student > Postgraduate | 2 | 7% |
| Professor > Associate Professor | 2 | 7% |
| Other | 1 | 3% |
| Unknown | 5 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 8 | 28% |
| Computer Science | 7 | 24% |
| Medicine and Dentistry | 2 | 7% |
| Mathematics | 1 | 3% |
| Psychology | 1 | 3% |
| Other | 4 | 14% |
| Unknown | 6 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 14 January 2012.
All research outputs
#14,142,336
of 22,661,413 outputs
Outputs from BioMedical Engineering OnLine
#372
of 821 outputs
Outputs of similar age
#83,643
of 126,274 outputs
Outputs of similar age from BioMedical Engineering OnLine
#4
of 4 outputs
Altmetric has tracked 22,661,413 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% 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 has gotten more attention than average, scoring higher than 52% 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 126,274 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.