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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Biomechanical evaluation of three surgical scenarios of posterior lumbar interbody fusion by finite element analysis
|
|---|---|
| Published in |
BioMedical Engineering OnLine, June 2012
|
| DOI | 10.1186/1475-925x-11-31 |
| Pubmed ID | |
| Authors |
Zhitao Xiao, Liya Wang, He Gong, Dong Zhu |
| Abstract |
For the treatment of low back pain, the following three scenarios of posterior lumbar interbody fusion (PLIF) were usually used, i.e., PLIF procedure with autogenous iliac bone (PAIB model), PLIF with cages made of PEEK (PCP model) or titanium (Ti) (PCT model) materiel. But the benefits or adverse effects among the three surgical scenarios were still not fully understood. |
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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| India | 1 | 2% |
| Unknown | 44 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 24% |
| Student > Ph. D. Student | 6 | 13% |
| Other | 5 | 11% |
| Researcher | 4 | 9% |
| Student > Doctoral Student | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 12 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 20 | 43% |
| Medicine and Dentistry | 5 | 11% |
| Materials Science | 3 | 7% |
| Neuroscience | 2 | 4% |
| Nursing and Health Professions | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 14 | 30% |
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 02 July 2012.
All research outputs
#20,160,460
of 22,669,724 outputs
Outputs from BioMedical Engineering OnLine
#691
of 821 outputs
Outputs of similar age
#148,402
of 164,518 outputs
Outputs of similar age from BioMedical Engineering OnLine
#11
of 12 outputs
Altmetric has tracked 22,669,724 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 821 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 1st percentile – i.e., 1% 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 164,518 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 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.