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MDCT of acute subaxial cervical spine trauma: a mechanism-based approach

Overview of attention for article published in Insights into Imaging, February 2014
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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 (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

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5 X users
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1 Facebook page
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2 Wikipedia pages

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100 Mendeley
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Title
MDCT of acute subaxial cervical spine trauma: a mechanism-based approach
Published in
Insights into Imaging, February 2014
DOI 10.1007/s13244-014-0311-y
Pubmed ID
Authors

Sameer B. Raniga, Venugopal Menon, Khamis S. Al Muzahmi, Sajid Butt

Abstract

Injuries to the spinal column are common and road traffic accidents are the commonest cause. Subaxial cervical spine (C3-C7) trauma encompasses a wide spectrum of osseous and ligamentous injuries, in addition to being frequently associated with neurological injury. Multidetector computed tomography (MDCT) is routinely performed to evaluate acute cervical spine trauma, very often as first-line imaging. MDCT provides an insight into the injury morphology, which in turn reflects the mechanics of injury. This article will review the fundamental biomechanical forces underlying the common subaxial spine injuries and resultant injury patterns or "fingerprints" on MDCT. This systematic and focused analysis enables a more accurate and rapid interpretation of cervical spine CT examinations. Mechanical considerations are important in most clinical and surgical decisions to adequately realign the spine, to prevent neurological deterioration and to facilitate appropriate stabilisation. This review will emphasise the variables on CT that affect the surgical management, as well as imaging "pearls" in differentiating "look-alike" lesions with different surgical implications. It will also enable the radiologist in writing clinically relevant CT reports of cervical spine trauma. Teaching Points • Vertebral bodies and disc bear the axial compression forces, while the ligaments bear the distraction forces.• Compressive forces result in fracture and distractive forces result in ligamentous disruption.• Bilateral facet dislocation is the most severe injury of the flexion-distraction spectrum.• Biomechanics-based CT reading will help to rapidly and accurately identify the entire spectrum of injury.• This approach also helps to differentiate look-alike injuries with different clinical implications.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Germany 1 1%
Unknown 98 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 15 15%
Other 12 12%
Researcher 12 12%
Student > Master 8 8%
Student > Ph. D. Student 7 7%
Other 21 21%
Unknown 25 25%
Readers by discipline Count As %
Medicine and Dentistry 58 58%
Agricultural and Biological Sciences 5 5%
Nursing and Health Professions 4 4%
Engineering 2 2%
Neuroscience 2 2%
Other 2 2%
Unknown 27 27%
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 16 July 2020.
All research outputs
#5,077,465
of 24,217,893 outputs
Outputs from Insights into Imaging
#317
of 1,072 outputs
Outputs of similar age
#48,668
of 229,235 outputs
Outputs of similar age from Insights into Imaging
#4
of 13 outputs
Altmetric has tracked 24,217,893 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,072 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has gotten more attention than average, scoring higher than 70% 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 229,235 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 13 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 69% of its contemporaries.