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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Diagnosis of osteoporosis from dental panoramic radiographs using the support vector machine method in a computer-aided system
|
|---|---|
| Published in |
BMC Medical Imaging, January 2012
|
| DOI | 10.1186/1471-2342-12-1 |
| Pubmed ID | |
| Authors |
M S Kavitha, Akira Asano, Akira Taguchi, Takio Kurita, Mitsuhiro Sanada |
| Abstract |
Early diagnosis of osteoporosis can potentially decrease the risk of fractures and improve the quality of life. Detection of thin inferior cortices of the mandible on dental panoramic radiographs could be useful for identifying postmenopausal women with low bone mineral density (BMD) or osteoporosis. The aim of our study was to assess the diagnostic efficacy of using kernel-based support vector machine (SVM) learning regarding the cortical width of the mandible on dental panoramic radiographs to identify postmenopausal women with low BMD. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 33% |
| Chile | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 1 | 1% |
| Turkey | 1 | 1% |
| Unknown | 95 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 12% |
| Student > Master | 10 | 10% |
| Researcher | 9 | 9% |
| Student > Doctoral Student | 9 | 9% |
| Student > Bachelor | 8 | 8% |
| Other | 15 | 15% |
| Unknown | 34 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 37 | 38% |
| Computer Science | 8 | 8% |
| Engineering | 3 | 3% |
| Nursing and Health Professions | 2 | 2% |
| Mathematics | 2 | 2% |
| Other | 5 | 5% |
| Unknown | 40 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 2012.
All research outputs
#13,127,753
of 22,661,413 outputs
Outputs from BMC Medical Imaging
#142
of 588 outputs
Outputs of similar age
#144,227
of 245,660 outputs
Outputs of similar age from BMC Medical Imaging
#1
of 3 outputs
Altmetric has tracked 22,661,413 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 588 research outputs from this source. They receive a mean Attention Score of 2.1. This one has gotten more attention than average, scoring higher than 74% 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 245,660 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them