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Convolutional Neural Network–Based Automated Segmentation of the Spinal Cord and Contusion Injury: Deep Learning Biomarker Correlates of Motor Impairment in Acute Spinal Cord Injury

Overview of attention for article published in American Journal of Neuroradiology, March 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

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9 X users

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99 Mendeley
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Title
Convolutional Neural Network–Based Automated Segmentation of the Spinal Cord and Contusion Injury: Deep Learning Biomarker Correlates of Motor Impairment in Acute Spinal Cord Injury
Published in
American Journal of Neuroradiology, March 2019
DOI 10.3174/ajnr.a6020
Pubmed ID
Authors

D.B. McCoy, S.M. Dupont, C. Gros, J. Cohen-Adad, R.J. Huie, A. Ferguson, X. Duong-Fernandez, L.H. Thomas, V. Singh, J. Narvid, L. Pascual, N. Kyritsis, M.S. Beattie, J.C. Bresnahan, S. Dhall, W. Whetstone, J.F. Talbott

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 99 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 14%
Student > Ph. D. Student 10 10%
Student > Master 9 9%
Student > Doctoral Student 8 8%
Student > Bachelor 7 7%
Other 16 16%
Unknown 35 35%
Readers by discipline Count As %
Medicine and Dentistry 26 26%
Computer Science 7 7%
Engineering 7 7%
Neuroscience 5 5%
Nursing and Health Professions 2 2%
Other 8 8%
Unknown 44 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 18 March 2020.
All research outputs
#4,749,272
of 23,138,859 outputs
Outputs from American Journal of Neuroradiology
#1,214
of 4,932 outputs
Outputs of similar age
#99,607
of 351,521 outputs
Outputs of similar age from American Journal of Neuroradiology
#34
of 87 outputs
Altmetric has tracked 23,138,859 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,932 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done well, scoring higher than 75% 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 351,521 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 71% of its contemporaries.
We're also able to compare this research output to 87 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 60% of its contemporaries.