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Study the Longitudinal in vivo and Cross-Sectional ex vivo Brain Volume Difference for Disease Progression and Treatment Effect on Mouse Model of Tauopathy Using Automated MRI Structural Parcellation

Overview of attention for article published in Frontiers in Neuroscience, January 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

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6 X users

Readers on

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43 Mendeley
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Title
Study the Longitudinal in vivo and Cross-Sectional ex vivo Brain Volume Difference for Disease Progression and Treatment Effect on Mouse Model of Tauopathy Using Automated MRI Structural Parcellation
Published in
Frontiers in Neuroscience, January 2019
DOI 10.3389/fnins.2019.00011
Pubmed ID
Authors

Da Ma, Holly E. Holmes, Manuel J. Cardoso, Marc Modat, Ian F. Harrison, Nick M. Powell, James M. O’Callaghan, Ozama Ismail, Ross A. Johnson, Michael J. O’Neill, Emily C. Collins, Mirza F. Beg, Karteek Popuri, Mark F. Lythgoe, Sebastien Ourselin

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 28%
Student > Ph. D. Student 8 19%
Student > Master 5 12%
Other 3 7%
Student > Bachelor 2 5%
Other 7 16%
Unknown 6 14%
Readers by discipline Count As %
Neuroscience 11 26%
Engineering 6 14%
Medicine and Dentistry 4 9%
Computer Science 3 7%
Agricultural and Biological Sciences 2 5%
Other 5 12%
Unknown 12 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 17 March 2019.
All research outputs
#7,717,825
of 25,385,509 outputs
Outputs from Frontiers in Neuroscience
#4,886
of 11,543 outputs
Outputs of similar age
#149,884
of 446,425 outputs
Outputs of similar age from Frontiers in Neuroscience
#118
of 312 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 11,543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has gotten more attention than average, scoring higher than 57% 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 446,425 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 312 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.