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Predicting Motor Outcomes in Stroke Patients Using Diffusion Spectrum MRI Microstructural Measures

Overview of attention for article published in Frontiers in Neurology, February 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

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4 X users

Readers on

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50 Mendeley
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Title
Predicting Motor Outcomes in Stroke Patients Using Diffusion Spectrum MRI Microstructural Measures
Published in
Frontiers in Neurology, February 2019
DOI 10.3389/fneur.2019.00072
Pubmed ID
Authors

Kyler Hodgson, Ganesh Adluru, Lorie G. Richards, Jennifer J. Majersik, Greg Stoddard, Nagesh Adluru, Edward DiBella

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 16%
Student > Ph. D. Student 7 14%
Researcher 6 12%
Other 4 8%
Student > Bachelor 3 6%
Other 7 14%
Unknown 15 30%
Readers by discipline Count As %
Medicine and Dentistry 8 16%
Neuroscience 7 14%
Engineering 5 10%
Economics, Econometrics and Finance 2 4%
Psychology 2 4%
Other 7 14%
Unknown 19 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 19 February 2019.
All research outputs
#13,121,415
of 23,128,387 outputs
Outputs from Frontiers in Neurology
#4,949
of 12,042 outputs
Outputs of similar age
#168,237
of 352,293 outputs
Outputs of similar age from Frontiers in Neurology
#120
of 384 outputs
Altmetric has tracked 23,128,387 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,042 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has gotten more attention than average, scoring higher than 58% 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 352,293 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 51% of its contemporaries.
We're also able to compare this research output to 384 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 67% of its contemporaries.