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Finite element simulation of fracture in a restored premolar tooth using high aspect ratio elements

Overview of attention for article published in Research on Biomedical Engineering, March 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
23 Mendeley
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Title
Finite element simulation of fracture in a restored premolar tooth using high aspect ratio elements
Published in
Research on Biomedical Engineering, March 2018
DOI 10.1590/2446-4740.05817
Authors

Maryam Ramezani, Estevam Barbosa de Las Casas, Cláudia Machado de Almeida Mattos, Osvaldo Luís Manzoli, Eduardo Alexandre Rodrigues

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 4 17%
Student > Bachelor 2 9%
Researcher 2 9%
Student > Master 2 9%
Professor 2 9%
Other 3 13%
Unknown 8 35%
Readers by discipline Count As %
Engineering 6 26%
Medicine and Dentistry 3 13%
Veterinary Science and Veterinary Medicine 1 4%
Physics and Astronomy 1 4%
Unspecified 1 4%
Other 2 9%
Unknown 9 39%
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 31 March 2022.
All research outputs
#8,538,940
of 25,382,440 outputs
Outputs from Research on Biomedical Engineering
#11
of 74 outputs
Outputs of similar age
#140,949
of 348,698 outputs
Outputs of similar age from Research on Biomedical Engineering
#1
of 1 outputs
Altmetric has tracked 25,382,440 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 74 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 67% 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 348,698 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 52% of its contemporaries.
We're also able to compare this research output to 1 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