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Early detection and personalized treatment in oral cancer: the impact of omics approaches

Overview of attention for article published in Molecular Cytogenetics, November 2016
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  • Among the highest-scoring outputs from this source (#49 of 412)
  • Good Attention Score compared to outputs of the same age (68th percentile)

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1 X user
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2 patents

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36 Dimensions

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99 Mendeley
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Title
Early detection and personalized treatment in oral cancer: the impact of omics approaches
Published in
Molecular Cytogenetics, November 2016
DOI 10.1186/s13039-016-0293-1
Pubmed ID
Authors

Ilda Patrícia Ribeiro, Leonor Barroso, Francisco Marques, Joana Barbosa Melo, Isabel Marques Carreira

Abstract

Oral cancer is one of the most common malignant lesions of the head and neck. This cancer is an aggressive and lethal disease with no significant improvements in the overall survival in the last decades. Moreover, the incidence of oral HPV-positive tumors is rising, especially in young people. This oral neoplasm develops through numerous molecular imbalances that affect key genes and signaling pathways; however, the molecular mechanisms involved in the pathogenesis and progression of oral tumors are still to be fully determined. In order to improve the quality of life and long-term survival rate of these patients, it is vital to establish accurate biomarkers that help in the early diagnosis, prognosis and development of target treatments. Such biomarkers may possibly allow for selection of patients that will benefit from each therapy modality, helping in the optimization of intensity and sequence of the treatments in order to decrease side effects and improve survival. In this review we discuss the current knowledge of oral cancer and the potential role of omics approaches to identify molecular biomarkers in the improvement of early diagnosis, treatment and prognosis. The pursuit to improve the quality of life and decrease mortality rates of the oral patients needs to be centralized on the identification of critical genes in oral carcinogenesis. Understanding the molecular biology of oral cancer is vital for search new therapies, being the molecular-targeted therapies the most promising treatment for these patients.

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 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 99 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 22 22%
Student > Bachelor 15 15%
Student > Ph. D. Student 10 10%
Researcher 9 9%
Student > Doctoral Student 5 5%
Other 13 13%
Unknown 25 25%
Readers by discipline Count As %
Medicine and Dentistry 29 29%
Biochemistry, Genetics and Molecular Biology 12 12%
Agricultural and Biological Sciences 6 6%
Pharmacology, Toxicology and Pharmaceutical Science 6 6%
Nursing and Health Professions 4 4%
Other 13 13%
Unknown 29 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 18 July 2023.
All research outputs
#7,484,502
of 24,129,125 outputs
Outputs from Molecular Cytogenetics
#49
of 412 outputs
Outputs of similar age
#130,152
of 422,878 outputs
Outputs of similar age from Molecular Cytogenetics
#2
of 4 outputs
Altmetric has tracked 24,129,125 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 412 research outputs from this source. They receive a mean Attention Score of 2.4. This one has done well, scoring higher than 86% 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 422,878 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.