↓ Skip to main content

Toward an understanding of implant occlusion and strain adaptive bone modeling and remodeling

Overview of attention for article published in Journal of Prosthetic Dentistry, May 1999
Altmetric Badge

Readers on

mendeley
131 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.
Article details
Title
Toward an understanding of implant occlusion and strain adaptive bone modeling and remodeling
Published in
Journal of Prosthetic Dentistry, May 1999
DOI 10.1016/s0022-3913(99)70209-x
Pubmed ID
Authors
Abstract

Dental implant failure rates for osseointegration are greater in the highly atro-phic maxilla. Presuming higher failure rates relate to strain-driven adaptation, an enhanced understanding of formative bone response to loading (modeling) and maintenance of an integrated state (remodeling) should improve treatment. To understand the role of occlusal loading on long-term osseointegration in areas of compromised cancellous bone, a review of the salient features of adaptive bone modeling and remodeling is presented with an emphasis on cancellous bone responses. The ability for dental implants to maintain a long-term stable interface in the maxilla lies in the ability of trabecular bone to maintain adequate local material (strength) and architectural (connectivity) properties. In this discussion, an emphasis has been placed on understanding how trabecular bone can respond to the mastication-induced loading environment on an implant.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Egypt 3 2%
Canada 2 2%
Turkey 1 <1%
Chile 1 <1%
Unknown 124 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 22 17%
Student > Master 20 15%
Student > Postgraduate 14 11%
Student > Doctoral Student 12 9%
Researcher 11 8%
Other 17 13%
Unknown 35 27%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 58 44%
Engineering 17 13%
Agricultural and Biological Sciences 6 5%
Materials Science 6 5%
Mathematics 1 <1%
Other 5 4%
Unknown 38 29%