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Mendeley readers
Attention Score in Context
| Title |
Automatic method of analysis of OCT images in the assessment of the tooth enamel surface after orthodontic treatment with fixed braces
|
|---|---|
| Published in |
BioMedical Engineering OnLine, April 2014
|
| DOI | 10.1186/1475-925x-13-48 |
| Pubmed ID | |
| Authors |
Robert Koprowski, Monika Machoy, Krzysztof Woźniak, Zygmunt Wróbel |
| Abstract |
Fixed orthodontic appliances, despite years of research and development, still raise a lot of controversy because of its potentially destructive influence on enamel. Therefore, it is necessary to quantitatively assess the condition and therein the thickness of tooth enamel in order to select the appropriate orthodontic bonding and debonding methodology as well as to assess the quality of enamel after treatment and clean-up procedure in order to choose the most advantageous course of treatment. One of the assessment methods is computed tomography where the measurement of enamel thickness and the 3D reconstruction of image sequences can be performed fully automatically. |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 21% |
| Student > Master | 6 | 15% |
| Other | 2 | 5% |
| Student > Bachelor | 2 | 5% |
| Researcher | 2 | 5% |
| Other | 7 | 18% |
| Unknown | 12 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 36% |
| Engineering | 3 | 8% |
| Computer Science | 2 | 5% |
| Unspecified | 1 | 3% |
| Psychology | 1 | 3% |
| Other | 6 | 15% |
| Unknown | 12 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 30 November 2022.
All research outputs
#8,262,445
of 25,374,917 outputs
Outputs from BioMedical Engineering OnLine
#222
of 867 outputs
Outputs of similar age
#76,625
of 241,516 outputs
Outputs of similar age from BioMedical Engineering OnLine
#8
of 24 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 867 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 gotten more attention than average, scoring higher than 73% 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 241,516 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 24 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 62% of its contemporaries.