| Title |
SPECT/CT in patients with painful knee arthroplasty—what is the evidence?
|
|---|---|
| Published in |
Skeletal Radiology, June 2013
|
| DOI | 10.1007/s00256-013-1657-9 |
| Pubmed ID | |
| Authors |
Michael T. Hirschmann, Johann Henckel, Helmut Rasch |
| Abstract |
SPECT/CT is increasingly recognized as a promising imaging modality for the investigation of patients with a painful knee after knee arthroplasty. In this review article, we give an overview of the clinical value and current and future applications of SPECT/CT for patients with knee pain following joint arthroplasty. A detailed evidence-based literature review is performed and presented. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Netherlands | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 55 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 22% |
| Other | 10 | 17% |
| Student > Master | 7 | 12% |
| Student > Ph. D. Student | 5 | 9% |
| Student > Postgraduate | 5 | 9% |
| Other | 8 | 14% |
| Unknown | 10 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 27 | 47% |
| Engineering | 5 | 9% |
| Agricultural and Biological Sciences | 2 | 3% |
| Nursing and Health Professions | 2 | 3% |
| Physics and Astronomy | 2 | 3% |
| Other | 5 | 9% |
| Unknown | 15 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 27 July 2013.
All research outputs
#14,171,441
of 22,712,476 outputs
Outputs from Skeletal Radiology
#811
of 1,463 outputs
Outputs of similar age
#111,141
of 197,313 outputs
Outputs of similar age from Skeletal Radiology
#7
of 14 outputs
Altmetric has tracked 22,712,476 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,463 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 40th percentile – i.e., 40% 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 197,313 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 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 50% of its contemporaries.