| Title |
Review of brain MRI image segmentation methods
|
|---|---|
| Published in |
Artificial Intelligence Review, January 2010
|
| DOI | 10.1007/s10462-010-9155-0 |
| Authors |
M. A. Balafar, A. R. Ramli, M. I. Saripan, S. Mashohor |
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 434 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 2% |
| United Kingdom | 5 | 1% |
| Canada | 3 | <1% |
| France | 2 | <1% |
| Iran, Islamic Republic of | 2 | <1% |
| Spain | 2 | <1% |
| Indonesia | 1 | <1% |
| Austria | 1 | <1% |
| Malaysia | 1 | <1% |
| Other | 8 | 2% |
| Unknown | 401 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 130 | 30% |
| Student > Master | 79 | 18% |
| Researcher | 49 | 11% |
| Student > Bachelor | 45 | 10% |
| Student > Doctoral Student | 13 | 3% |
| Other | 42 | 10% |
| Unknown | 76 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 132 | 30% |
| Computer Science | 105 | 24% |
| Medicine and Dentistry | 24 | 6% |
| Physics and Astronomy | 17 | 4% |
| Neuroscience | 16 | 4% |
| Other | 41 | 9% |
| Unknown | 99 | 23% |
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 04 June 2013.
All research outputs
#15,272,977
of 22,711,645 outputs
Outputs from Artificial Intelligence Review
#414
of 664 outputs
Outputs of similar age
#134,008
of 164,017 outputs
Outputs of similar age from Artificial Intelligence Review
#4
of 4 outputs
Altmetric has tracked 22,711,645 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 664 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 21st percentile – i.e., 21% 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 164,017 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 4 others from the same source and published within six weeks on either side of this one.