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Diagnosing peri-implant disease using the tongue as a 24/7 detector

Overview of attention for article published in Nature Communications, August 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
20 news outlets
blogs
3 blogs
twitter
52 X users
patent
2 patents
facebook
6 Facebook pages
googleplus
5 Google+ users

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
92 Mendeley
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Title
Diagnosing peri-implant disease using the tongue as a 24/7 detector
Published in
Nature Communications, August 2017
DOI 10.1038/s41467-017-00340-x
Pubmed ID
Authors

J. Ritzer, T. Lühmann, C. Rode, M. Pein-Hackelbusch, I. Immohr, U. Schedler, T. Thiele, S. Stübinger, B. v. Rechenberg, J. Waser-Althaus, F. Schlottig, M. Merli, H. Dawe, M. Karpíšek, R. Wyrwa, M. Schnabelrauch, L. Meinel

Abstract

Our ability of screening broad communities for clinically asymptomatic diseases critically drives population health. Sensory chewing gums are presented targeting the tongue as 24/7 detector allowing diagnosis by "anyone, anywhere, anytime". The chewing gum contains peptide sensors consisting of a protease cleavable linker in between a bitter substance and a microparticle. Matrix metalloproteinases in the oral cavity, as upregulated in peri-implant disease, specifically target the protease cleavable linker while chewing the gum, thereby generating bitterness for detection by the tongue. The peptide sensors prove significant success in discriminating saliva collected from patients with peri-implant disease versus clinically asymptomatic volunteers. Superior outcome is demonstrated over commercially available protease-based tests in saliva. "Anyone, anywhere, anytime" diagnostics are within reach for oral inflammation. Expanding this platform technology to other diseases in the future features this diagnostic as a massive screening tool potentially maximizing impact on population health.Early detection of gum inflammation caused by dental implants helps prevent tissue damage. Here, the authors present a peptide sensor that generates a bitter taste when cleaved by proteases present in peri-implant disease, embed it in a chewing gum, and compare the probe to existing sensors using patient saliva.

X Demographics

X Demographics

The data shown below were collected from the profiles of 52 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 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 92 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 16%
Student > Master 14 15%
Researcher 12 13%
Student > Bachelor 8 9%
Student > Doctoral Student 7 8%
Other 15 16%
Unknown 21 23%
Readers by discipline Count As %
Medicine and Dentistry 22 24%
Biochemistry, Genetics and Molecular Biology 13 14%
Engineering 12 13%
Chemistry 7 8%
Agricultural and Biological Sciences 6 7%
Other 10 11%
Unknown 22 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 202. 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 September 2020.
All research outputs
#198,102
of 25,734,859 outputs
Outputs from Nature Communications
#2,819
of 58,271 outputs
Outputs of similar age
#4,151
of 327,130 outputs
Outputs of similar age from Nature Communications
#45
of 871 outputs
Altmetric has tracked 25,734,859 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 58,271 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.4. This one has done particularly well, scoring higher than 95% 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 327,130 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 871 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 94% of its contemporaries.