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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Construction and validation of a three-dimensional finite element model of degenerative scoliosis
|
|---|---|
| Published in |
Journal of Orthopaedic Surgery and Research, December 2015
|
| DOI | 10.1186/s13018-015-0334-1 |
| Pubmed ID | |
| Authors |
Jie Zheng, Yonghong Yang, Shuliang Lou, Dongsheng Zhang, Shenghui Liao |
| Abstract |
With the aging of the population, degenerative scoliosis (DS) incidence rate is increasing. In recent years, increasing research on this topic has been carried out, yet biomechanical research on the subject is seldom seen and in vitro biomechanical model of DS nearly cannot be available. The objective of this study was to develop and validate a complete three-dimensional finite element model of DS in order to build the digital platform for further biomechanical study. A 55-year-old female DS patient (Suer Pan, ID number was P141986) was selected for this study. This study was performed in accordance with the ethical standards of Declaration of Helsinki and its amendments and was approved by the local ethics committee (117 hospital of PLA ethics committee). Spiral computed tomography (CT) scanning was conducted on the patient's lumbar spine from the T12 to S1. CT images were then imported into a finite element modeling system. A three-dimensional solid model was then formed from segmentation of the CT scan. The three-dimensional model of each vertebra was then meshed, and material properties were assigned to each element according to the pathological characteristics of DS. Loads and boundary conditions were then applied in such a manner as to simulate in vitro biomechanical experiments conducted on lumbar segments. The results of the model were then compared with experimental results in order to validate the model. An integral three-dimensional finite element model of DS was built successfully, consisting of 113,682 solid elements, 686 cable elements, 33,329 shell elements, 4968 target elements, 4968 contact elements, totaling 157,635 elements, and 197,374 nodes. The model accurately described the physical features of DS and was geometrically similar to the object of study. The results of analysis with the finite element model agreed closely with in vitro experiments, validating the accuracy of the model. The three-dimensional finite element model of DS built in this study is clear, reliable, and effective for further biomechanical simulation study of DS. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 9 | 20% |
| Student > Master | 8 | 18% |
| Student > Ph. D. Student | 5 | 11% |
| Student > Doctoral Student | 3 | 7% |
| Student > Postgraduate | 3 | 7% |
| Other | 7 | 16% |
| Unknown | 10 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 14 | 31% |
| Nursing and Health Professions | 5 | 11% |
| Medicine and Dentistry | 4 | 9% |
| Economics, Econometrics and Finance | 2 | 4% |
| Computer Science | 1 | 2% |
| Other | 6 | 13% |
| Unknown | 13 | 29% |
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 24 December 2015.
All research outputs
#15,352,477
of 22,836,570 outputs
Outputs from Journal of Orthopaedic Surgery and Research
#646
of 1,371 outputs
Outputs of similar age
#228,875
of 390,633 outputs
Outputs of similar age from Journal of Orthopaedic Surgery and Research
#16
of 32 outputs
Altmetric has tracked 22,836,570 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,371 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 34th percentile – i.e., 34% 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 390,633 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.