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Brain Segmentation From Computed Tomography of Healthy Aging and Geriatric Concussion at Variable Spatial Resolutions

Overview of attention for article published in Frontiers in Neuroinformatics, March 2019
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57 Mendeley
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Title
Brain Segmentation From Computed Tomography of Healthy Aging and Geriatric Concussion at Variable Spatial Resolutions
Published in
Frontiers in Neuroinformatics, March 2019
DOI 10.3389/fninf.2019.00009
Pubmed ID
Authors

Andrei Irimia, Alexander S. Maher, Kenneth A. Rostowsky, Nahian F. Chowdhury, Darryl H. Hwang, E. Meng Law

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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 19%
Researcher 7 12%
Student > Master 7 12%
Student > Bachelor 6 11%
Student > Doctoral Student 4 7%
Other 12 21%
Unknown 10 18%
Readers by discipline Count As %
Medicine and Dentistry 11 19%
Neuroscience 10 18%
Engineering 5 9%
Unspecified 3 5%
Computer Science 3 5%
Other 10 18%
Unknown 15 26%
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 30 March 2019.
All research outputs
#20,563,454
of 23,138,859 outputs
Outputs from Frontiers in Neuroinformatics
#688
of 759 outputs
Outputs of similar age
#327,124
of 380,333 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#18
of 25 outputs
Altmetric has tracked 23,138,859 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 759 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. 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 380,333 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 25 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.