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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 (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

blogs
1 blog
twitter
3 X users

Readers on

mendeley
27 Mendeley
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Article details
Title
Assessing a multiplex-targeted proteomics approach for the clinical diagnosis of periodontitis using saliva samples
Published in
Bioanalysis, December 2017
DOI 10.4155/bio-2017-0218
Pubmed ID
Authors
Abstract

The present study focused on the research of new biomarkers based on the liquid chromatography-multiple-reaction monitoring (MRM) proteomic profile in whole saliva of patients with periodontitis compared with periodontal healthy patients. A 30-min multiplexed liquid chromatography-MRM method was used for absolute quantification of 35 plasma biomarkers in saliva from control patients and patients with periodontitis. Three proteins namely hemopexin, plasminogen and α-fibrinogen were shown to be clearly related to the presence of periodontitis compared with healthy patients. Apolipoprotein H was found to discriminate for the first time chronic and aggressive periodontitis. Our results indicate that this innovative MRM method could be used to screen for periodontitis in clinical environment. Furthermore, apolipoprotein H was found to be a discriminant biomarker of aggressive periodontitis.

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Timeline Attention over time Attention Score history
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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 3 11%
Professor 2 7%
Student > Ph. D. Student 2 7%
Student > Master 2 7%
Researcher 2 7%
Other 4 15%
Unknown 12 44%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 5 19%
Biochemistry, Genetics and Molecular Biology 4 15%
Agricultural and Biological Sciences 2 7%
Immunology and Microbiology 1 4%
Neuroscience 1 4%
Other 1 4%
Unknown 13 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 22 February 2019.
All research outputs
#4,328,968
of 28,815,917 outputs
Outputs from Bioanalysis
#92
of 1,485 outputs
Outputs of similar age
#79,269
of 455,680 outputs
Outputs of similar age from Bioanalysis
#12
of 52 outputs
Altmetric has tracked 28,815,917 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,485 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 92% 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 455,680 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 82% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.