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Morphometric evaluation of subaxial cervical spine using multi-detector computerized tomography (MD-CT) scan: the consideration for cervical pedicle screws fixation

Overview of attention for article published in BMC Musculoskeletal Disorders, April 2014
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1 tweeter

Citations

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12 Mendeley
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Title
Morphometric evaluation of subaxial cervical spine using multi-detector computerized tomography (MD-CT) scan: the consideration for cervical pedicle screws fixation
Published in
BMC Musculoskeletal Disorders, April 2014
DOI 10.1186/1471-2474-15-125
Pubmed ID
Authors

Pongsthorn Chanplakorn, Chaiwat Kraiwattanapong, Kitti Aroonjarattham, Pittavat Leelapattana, Gun Keorochana, Suphaneewan Jaovisidha, Wiwat Wajanavisit

Abstract

Cervical pedicle screw (CPS) insertion is a technically demanding procedure. The quantitative understanding of cervical pedicle morphology, especially the narrowest part of cervical pedicle or isthmus, would minimize the risk of catastrophic damage to surrounding neurovascular structures and improve surgical outcome. The aim of this study was to investigate morphology and quantify cortical thickness of the cervical isthmus by using Multi-detector Computerized Tomography (MD-CT) scan.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 4 33%
Student > Doctoral Student 3 25%
Student > Ph. D. Student 2 17%
Student > Bachelor 1 8%
Lecturer 1 8%
Other 0 0%
Unknown 1 8%
Readers by discipline Count As %
Medicine and Dentistry 8 67%
Neuroscience 1 8%
Engineering 1 8%
Unknown 2 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 11 April 2014.
All research outputs
#3,550,746
of 5,036,026 outputs
Outputs from BMC Musculoskeletal Disorders
#1,381
of 1,695 outputs
Outputs of similar age
#82,490
of 123,474 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#108
of 126 outputs
Altmetric has tracked 5,036,026 research outputs across all sources so far. This one is in the 16th percentile – i.e., 16% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,695 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 8th percentile – i.e., 8% 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 123,474 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 126 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.