| Title |
Three-dimensional printing for preoperative planning of total hip arthroplasty revision: case report
|
|---|---|
| Published in |
Skeletal Radiology, August 2016
|
| DOI | 10.1007/s00256-016-2444-1 |
| Pubmed ID | |
| Authors |
Joseph Zerr, Yonatan Chatzinoff, Rajiv Chopra, Kenneth Estrera, Avneesh Chhabra |
| Abstract |
Three dimensional (3D) printing can be used to create material models to aid preoperative planning of complex orthopedic procedures as exemplified by this case of total hip arthroplasty failure due to infection with resulting severe acetabular bone stock deficiency. The 3D model allowed for trialing of the acetabular component to determine cup size, position, and screw placement. Most importantly, the model confirmed that there was not a pelvic discontinuity and the revision shell would be sufficient for the reconstruction. Previously, the cost and complexity of utilization of 3D printers were prohibitive. Recent improvements in commercially available 3D printers have made rapid prototype model creation a realistic option, which can facilitate difficult surgery. |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 65 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 23% |
| Student > Master | 11 | 17% |
| Student > Postgraduate | 7 | 11% |
| Student > Bachelor | 6 | 9% |
| Other | 6 | 9% |
| Other | 10 | 15% |
| Unknown | 10 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 30 | 46% |
| Engineering | 3 | 5% |
| Nursing and Health Professions | 3 | 5% |
| Business, Management and Accounting | 1 | 2% |
| Mathematics | 1 | 2% |
| Other | 5 | 8% |
| Unknown | 22 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 09 February 2017.
All research outputs
#3,814,345
of 22,953,506 outputs
Outputs from Skeletal Radiology
#156
of 1,476 outputs
Outputs of similar age
#70,148
of 366,910 outputs
Outputs of similar age from Skeletal Radiology
#2
of 11 outputs
Altmetric has tracked 22,953,506 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,476 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done well, scoring higher than 89% 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 366,910 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 80% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.