↓ Skip to main content

Targeted salivary biomarkers for discrimination of periodontal health and disease(s)

Overview of attention for article published in Frontiers in Cellular and Infection Microbiology, August 2015
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
twitter
3 X users
facebook
3 Facebook pages

Citations

dimensions_citation
118 Dimensions

Readers on

mendeley
152 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
Targeted salivary biomarkers for discrimination of periodontal health and disease(s)
Published in
Frontiers in Cellular and Infection Microbiology, August 2015
DOI 10.3389/fcimb.2015.00062
Pubmed ID
Authors

Jeffrey L. Ebersole, Radhakrishnan Nagarajan, David Akers, Craig S. Miller

Abstract

Generally, clinical parameters are used in dental practice for periodontal disease, yet several drawbacks exist with the clinical standards for addressing the needs of the public at large in determining the current status/progression of the disease, and requiring a significant amount of damage before these parameters can document disease. Therefore, a quick, easy and reliable method of assessing and monitoring periodontal disease should provide important diagnostic information that improves and speeds treatment decisions and moves the field closer to individualized point-of-care diagnostics. This report provides results for a saliva-based diagnostic approach for periodontal health and disease based upon the abundance of salivary analytes coincident with disease, and the significant progress already made in the identification of discriminatory salivary biomarkers of periodontitis. We evaluated biomarkers representing various phases of periodontitis initiation and progression (IL-1ß, IL-6, MMP-8, MIP-1α) in whole saliva from 209 subjects categorized with periodontal health, gingivitis, and periodontitis. Evaluation of the salivary analytes demonstrated utility for individual biomarkers to differentiate periodontitis from health. Inclusion of gingivitis patients into the analyses provided a more robust basis to estimate the value of each of these analytes. Various clinical and statistical approaches showed that pairs or panels of the analytes were able to increase the sensitivity and specificity for the identification of disease. Salivary concentrations of IL-1ß, IL-6, MMP-8, MIP-1α alone and in combination are able to distinguish health from gingivitis and periodontitis. The data clearly demonstrated a heterogeneity in response profiles of these analytes that supports the need for refinement of the standard clinical classifications if we are to move toward precision/personalized dentistry for the twenty-first century.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 152 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Unknown 150 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 12%
Student > Bachelor 16 11%
Researcher 15 10%
Student > Master 15 10%
Student > Doctoral Student 12 8%
Other 33 22%
Unknown 43 28%
Readers by discipline Count As %
Medicine and Dentistry 67 44%
Biochemistry, Genetics and Molecular Biology 8 5%
Agricultural and Biological Sciences 5 3%
Engineering 5 3%
Nursing and Health Professions 3 2%
Other 19 13%
Unknown 45 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 30 August 2019.
All research outputs
#2,930,742
of 25,837,817 outputs
Outputs from Frontiers in Cellular and Infection Microbiology
#558
of 8,236 outputs
Outputs of similar age
#36,778
of 279,733 outputs
Outputs of similar age from Frontiers in Cellular and Infection Microbiology
#1
of 15 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,236 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done particularly well, scoring higher than 93% 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 279,733 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 15 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 93% of its contemporaries.