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The UNC-Wisconsin Rhesus Macaque Neurodevelopment Database: A Structural MRI and DTI Database of Early Postnatal Development

Overview of attention for article published in Frontiers in Neuroscience, February 2017
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Title
The UNC-Wisconsin Rhesus Macaque Neurodevelopment Database: A Structural MRI and DTI Database of Early Postnatal Development
Published in
Frontiers in Neuroscience, February 2017
DOI 10.3389/fnins.2017.00029
Pubmed ID
Authors

Jeffrey T. Young, Yundi Shi, Marc Niethammer, Michael Grauer, Christopher L. Coe, Gabriele R. Lubach, Bradley Davis, Francois Budin, Rebecca C. Knickmeyer, Andrew L. Alexander, Martin A. Styner

Abstract

Rhesus macaques are commonly used as a translational animal model in neuroimaging and neurodevelopmental research. In this report, we present longitudinal data from both structural and diffusion MRI images generated on a cohort of 34 typically developing monkeys from 2 weeks to 36 months of age. All images have been manually skull stripped and are being made freely available via an online repository for use by the research community.

X Demographics

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The data shown below were collected from the profiles of 2 X users 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 29%
Student > Ph. D. Student 8 15%
Student > Bachelor 5 10%
Student > Master 4 8%
Professor > Associate Professor 3 6%
Other 6 12%
Unknown 11 21%
Readers by discipline Count As %
Neuroscience 10 19%
Engineering 6 12%
Agricultural and Biological Sciences 4 8%
Psychology 4 8%
Medicine and Dentistry 4 8%
Other 6 12%
Unknown 18 35%
Attention Score in Context

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 08 February 2017.
All research outputs
#17,239,390
of 25,382,440 outputs
Outputs from Frontiers in Neuroscience
#7,940
of 11,542 outputs
Outputs of similar age
#268,594
of 424,587 outputs
Outputs of similar age from Frontiers in Neuroscience
#120
of 182 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% 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 11.0. This one is in the 30th percentile – i.e., 30% 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 424,587 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 182 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.