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Real-time PCR analysis of fungal organisms and bacterial species at peri-implantitis sites

Overview of attention for article published in International Journal of Implant Dentistry, April 2015
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Title
Real-time PCR analysis of fungal organisms and bacterial species at peri-implantitis sites
Published in
International Journal of Implant Dentistry, April 2015
DOI 10.1186/s40729-015-0010-6
Pubmed ID
Authors

Frank Schwarz, Kathrin Becker, Sebastian Rahn, Andrea Hegewald, Klaus Pfeffer, Birgit Henrich

Abstract

The potential role of fungal organisms and their co-aggregation with either periodontopathogens or opportunistic pathogens at peri-implantitis sites is unknown. The aim of the present study was to qualitatively/quantitatively analyze and correlate fungal organisms and bacterial species at peri-implantitis sites. In a total of 29 patients, submucosal/subgingival plaque samples were collected at peri-implantitis and healthy implant sites as well as teeth with a history of periodontitis (controls). A real-time PCR assay was established for the qualification of fungal organisms and a TaqMan assay for the quantification of Porphyromonas gingivalis, Parvimonas micra, Tannerella forsythia, Mycoplasma salivarium, Veillonella parvula, and Staphylococcus aureus. Fungal organisms were more frequently identified at peri-implantitis (31.6%) (i.e., Candida albicans, Candida boidinii, Penicillium spp., Rhodotorula laryngis, Paelicomyces spp., Saccharomycetes, Cladosporium cladosporioides) and healthy implant sites (40% - Candida dubliniensis, C. cladosporioides) than at selected teeth (20% - C. albicans, Fusarium solani). At implant sites, fungal organisms were significantly correlated with P. micra and T. forsythia. Candida spp. and other fungal organisms were frequently identified at peri-implantitis as well as healthy implant sites and co-colonized with P. micra and T. forsythia.

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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 > Ph. D. Student 9 15%
Student > Master 9 15%
Researcher 6 10%
Student > Bachelor 5 8%
Student > Doctoral Student 1 2%
Other 4 7%
Unknown 25 42%
Readers by discipline Count As %
Medicine and Dentistry 20 34%
Agricultural and Biological Sciences 5 8%
Biochemistry, Genetics and Molecular Biology 4 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Environmental Science 1 2%
Other 3 5%
Unknown 25 42%
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 12 September 2017.
All research outputs
#18,571,001
of 23,001,641 outputs
Outputs from International Journal of Implant Dentistry
#57
of 103 outputs
Outputs of similar age
#194,105
of 265,805 outputs
Outputs of similar age from International Journal of Implant Dentistry
#1
of 2 outputs
Altmetric has tracked 23,001,641 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 103 research outputs from this source. They receive a mean Attention Score of 1.8. This one is in the 31st percentile – i.e., 31% 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 265,805 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 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