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Applications of artificial intelligence and machine learning in orthodontics: a scoping review

Overview of attention for article published in Progress in Orthodontics, July 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
75 Dimensions

Readers on

mendeley
157 Mendeley
Title
Applications of artificial intelligence and machine learning in orthodontics: a scoping review
Published in
Progress in Orthodontics, July 2021
DOI 10.1186/s40510-021-00361-9
Pubmed ID
Authors

Yashodhan M. Bichu, Ismaeel Hansa, Aditi Y. Bichu, Pratik Premjani, Carlos Flores-Mir, Nikhilesh R. Vaid

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 157 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 8%
Student > Ph. D. Student 8 5%
Student > Doctoral Student 8 5%
Student > Bachelor 8 5%
Professor 7 4%
Other 25 16%
Unknown 88 56%
Readers by discipline Count As %
Medicine and Dentistry 54 34%
Computer Science 6 4%
Engineering 4 3%
Social Sciences 2 1%
Immunology and Microbiology 1 <1%
Other 6 4%
Unknown 84 54%
Attention Score in Context

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 21 December 2023.
All research outputs
#8,541,797
of 25,392,582 outputs
Outputs from Progress in Orthodontics
#54
of 255 outputs
Outputs of similar age
#172,880
of 450,754 outputs
Outputs of similar age from Progress in Orthodontics
#2
of 3 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 255 research outputs from this source. They receive a mean Attention Score of 3.0. 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 450,754 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 57% of its contemporaries.
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.