| Title |
Oral microbiome and peri-implant diseases: where are we now?
|
|---|---|
| Published in |
Therapeutics and Clinical Risk Management, November 2017
|
| DOI | 10.2147/tcrm.s139795 |
| Pubmed ID | |
| Authors |
Rafał Pokrowiecki, Agnieszka Mielczarek, Tomasz Zaręba, Stefan Tyski |
| Abstract |
Peri-implant infective diseases (PIIDs) in oral implantology are commonly known as peri-implant mucositis (PIM) and periimplantitis (PI). While PIM is restricted to the peri-implant mucosa and is reversible, PI also affects implant-supporting bone and, therefore, is very difficult to eradicate. PIIDs in clinical outcome may resemble gingivitis and periodontitis, as they share similar risk factors. However, recent study in the field of proteomics and other molecular studies indicate that PIIDs exhibit significant differences when compared to periodontal diseases. This review aims to elucidate the current knowledge of PIIDs, their etiopathology and diversified microbiology as well as the role of molecular studies, which may be a key to personalized diagnostic and treatment protocols of peri-implant infections in the near future. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 148 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 21 | 14% |
| Student > Bachelor | 17 | 11% |
| Student > Postgraduate | 13 | 9% |
| Student > Ph. D. Student | 13 | 9% |
| Student > Doctoral Student | 8 | 5% |
| Other | 31 | 21% |
| Unknown | 45 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 60 | 41% |
| Agricultural and Biological Sciences | 6 | 4% |
| Biochemistry, Genetics and Molecular Biology | 6 | 4% |
| Unspecified | 5 | 3% |
| Chemistry | 5 | 3% |
| Other | 14 | 9% |
| Unknown | 52 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 24 October 2018.
All research outputs
#7,000,263
of 25,584,565 outputs
Outputs from Therapeutics and Clinical Risk Management
#333
of 1,308 outputs
Outputs of similar age
#105,706
of 341,375 outputs
Outputs of similar age from Therapeutics and Clinical Risk Management
#3
of 26 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,308 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. 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 341,375 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 68% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.