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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Interruption of Electrical Conductivity of Titanium Dental Implants Suggests a Path Towards Elimination Of Corrosion
|
|---|---|
| Published in |
PLOS ONE, October 2015
|
| DOI | 10.1371/journal.pone.0140393 |
| Pubmed ID | |
| Authors |
Alex E. Pozhitkov, Diane Daubert, Ashley Brochwicz Donimirski, Douglas Goodgion, Mikhail Y. Vagin, Brian G. Leroux, Colby M. Hunter, Thomas F. Flemmig, Peter A. Noble, James D. Bryers |
| Abstract |
Peri-implantitis is an inflammatory disease that results in the destruction of soft tissue and bone around the implant. Titanium implant corrosion has been attributed to the implant failure and cytotoxic effects to the alveolar bone. We have documented the extent of titanium release into surrounding plaque in patients with and without peri-implantitis. An in vitro model was designed to represent the actual environment of an implant in a patient's mouth. The model uses actual oral microbiota from a volunteer, allows monitoring electrochemical processes generated by biofilms growing on implants and permits control of biocorrosion electrical current. As determined by next generation DNA sequencing, microbial compositions in experiments with the in vitro model were comparable with the compositions found in patients with implants. It was determined that the electrical conductivity of titanium implants was the key factor responsible for the biocorrosion process. The interruption of the biocorrosion current resulted in a 4-5 fold reduction of corrosion. We propose a new design of dental implant that combines titanium in zero oxidation state for osseointegration and strength, interlaid with a nonconductive ceramic. In addition, we propose electrotherapy for manipulation of microbial biofilms and to induce bone healing in peri-implantitis patients. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 68 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 15% |
| Student > Ph. D. Student | 8 | 12% |
| Student > Master | 8 | 12% |
| Student > Postgraduate | 6 | 9% |
| Student > Bachelor | 6 | 9% |
| Other | 15 | 22% |
| Unknown | 15 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 32% |
| Biochemistry, Genetics and Molecular Biology | 7 | 10% |
| Chemistry | 5 | 7% |
| Materials Science | 5 | 7% |
| Engineering | 2 | 3% |
| Other | 7 | 10% |
| Unknown | 20 | 29% |
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 31 August 2022.
All research outputs
#15,689,396
of 23,314,015 outputs
Outputs from PLOS ONE
#135,301
of 199,281 outputs
Outputs of similar age
#165,138
of 280,360 outputs
Outputs of similar age from PLOS ONE
#3,442
of 5,460 outputs
Altmetric has tracked 23,314,015 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 199,281 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one is in the 23rd percentile – i.e., 23% 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 280,360 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5,460 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.