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Salivary biomarkers in cancer detection

Overview of attention for article published in Medical Oncology, December 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#15 of 1,387)
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
1 X user

Readers on

mendeley
272 Mendeley
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Title
Salivary biomarkers in cancer detection
Published in
Medical Oncology, December 2016
DOI 10.1007/s12032-016-0863-4
Pubmed ID
Authors

Xiaoqian Wang, Karolina Elżbieta Kaczor-Urbanowicz, David T. W. Wong

Abstract

Cancer is the second most common cause of death in the USA. Its symptoms are often not specific and absent, until the tumors have already metastasized. Therefore, there is an urgent demand for developing rapid, highly accurate and noninvasive tools for cancer screening, early detection, diagnostics, staging and prognostics. Saliva as a multi-constituent oral fluid comprises secretions from the major and minor salivary glands, extensively supplied by blood. Molecules such as DNAs, RNAs, proteins, metabolites, and microbiota, present in blood, could be also found in saliva. Recently, salivary diagnostics has drawn significant attention for the detection of specific biomarkers, since the sample collection and processing are simple, cost-effective, and precise and do not cause patient discomfort. Here, we review recent salivary candidate biomarkers for systemic cancers by dividing them according to their origin into: genomic, transcriptomic, proteomic, metabolomic and microbial types.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 272 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 272 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 43 16%
Student > Bachelor 29 11%
Student > Master 27 10%
Researcher 21 8%
Student > Doctoral Student 16 6%
Other 44 16%
Unknown 92 34%
Readers by discipline Count As %
Medicine and Dentistry 55 20%
Biochemistry, Genetics and Molecular Biology 52 19%
Engineering 11 4%
Agricultural and Biological Sciences 10 4%
Chemistry 7 3%
Other 33 12%
Unknown 104 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 28. 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 01 November 2018.
All research outputs
#1,328,330
of 24,524,436 outputs
Outputs from Medical Oncology
#15
of 1,387 outputs
Outputs of similar age
#27,468
of 428,884 outputs
Outputs of similar age from Medical Oncology
#2
of 13 outputs
Altmetric has tracked 24,524,436 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,387 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 98% 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 428,884 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 93% of its contemporaries.
We're also able to compare this research output to 13 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.