↓ Skip to main content

Root canal retreatment: a retrospective investigation using regression and data mining methods for the prediction of technical quality and periapical healing

Overview of attention for article published in Journal of Applied Oral Science, January 2021
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

twitter
2 X users
video
1 YouTube creator

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
59 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Root canal retreatment: a retrospective investigation using regression and data mining methods for the prediction of technical quality and periapical healing
Published in
Journal of Applied Oral Science, January 2021
DOI 10.1590/1678-7757-2020-0799
Pubmed ID
Authors

Bruna Signor, Luciano Costa Blomberg, Patrícia Maria Poli Kopper, Paulo Affonso Nonnenmacher Augustin, Marcos Vinicius Rauber, Guilherme Scopel Rodrigues, Roberta Kochenborger Scarparo

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 10%
Student > Master 6 10%
Unspecified 5 8%
Researcher 4 7%
Librarian 3 5%
Other 6 10%
Unknown 29 49%
Readers by discipline Count As %
Medicine and Dentistry 21 36%
Unspecified 4 7%
Engineering 2 3%
Environmental Science 1 2%
Chemistry 1 2%
Other 1 2%
Unknown 29 49%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 May 2023.
All research outputs
#19,957,118
of 25,387,668 outputs
Outputs from Journal of Applied Oral Science
#271
of 596 outputs
Outputs of similar age
#376,324
of 519,506 outputs
Outputs of similar age from Journal of Applied Oral Science
#11
of 32 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 596 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 49th percentile – i.e., 49% 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 519,506 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 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 56% of its contemporaries.