↓ Skip to main content

Segmentation of brain magnetic resonance images based on multi-atlas likelihood fusion: testing using data with a broad range of anatomical and photometric profiles

Overview of attention for article published in Frontiers in Neuroscience, March 2015
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
52 Dimensions

Readers on

mendeley
47 Mendeley
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.
Title
Segmentation of brain magnetic resonance images based on multi-atlas likelihood fusion: testing using data with a broad range of anatomical and photometric profiles
Published in
Frontiers in Neuroscience, March 2015
DOI 10.3389/fnins.2015.00061
Pubmed ID
Authors

Xiaoying Tang, Deana Crocetti, Kwame Kutten, Can Ceritoglu, Marilyn S. Albert, Susumu Mori, Stewart H. Mostofsky, Michael I. Miller

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Austria 1 2%
Canada 1 2%
Unknown 44 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 21%
Researcher 9 19%
Student > Ph. D. Student 8 17%
Student > Doctoral Student 6 13%
Lecturer 2 4%
Other 3 6%
Unknown 9 19%
Readers by discipline Count As %
Engineering 11 23%
Neuroscience 7 15%
Medicine and Dentistry 4 9%
Psychology 4 9%
Computer Science 4 9%
Other 4 9%
Unknown 13 28%
Attention Score in Context

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 March 2015.
All research outputs
#22,759,802
of 25,374,647 outputs
Outputs from Frontiers in Neuroscience
#10,137
of 11,542 outputs
Outputs of similar age
#233,345
of 271,802 outputs
Outputs of similar age from Frontiers in Neuroscience
#115
of 129 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,542 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one is in the 1st percentile – i.e., 1% 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 271,802 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 129 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.