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A Timely Shift from Shotgun to Targeted Proteomics and How It Can Be Groundbreaking for Cancer Research

Overview of attention for article published in Frontiers in oncology, February 2017
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  • High Attention Score compared to outputs of the same age and source (80th percentile)

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Title
A Timely Shift from Shotgun to Targeted Proteomics and How It Can Be Groundbreaking for Cancer Research
Published in
Frontiers in oncology, February 2017
DOI 10.3389/fonc.2017.00013
Pubmed ID
Authors

Sara S. Faria, Carlos F. M. Morris, Adriano R. Silva, Micaella P. Fonseca, Patrice Forget, Mariana S. Castro, Wagner Fontes

Abstract

The fact that cancer is a leading cause of death all around the world has naturally sparked major efforts in the pursuit of novel and more efficient biomarkers that could better serve as diagnostic tools, prognostic predictors, or therapeutical targets in the battle against this type of disease. Mass spectrometry-based proteomics has proven itself as a robust and logical alternative to the immuno-based methods that once dominated the field. Nevertheless, intrinsic limitations of classic proteomic approaches such as the natural gap between shotgun discovery-based methods and clinically applicable results have called for the implementation of more direct, hypothesis-based studies such as those made available through targeted approaches, that might be able to streamline biomarker discovery and validation as a means to increase survivability of affected patients. In fact, the paradigm shifting potential of modern targeted proteomics applied to cancer research can be demonstrated by the large number of advancements and increasing examples of new and more useful biomarkers found during the course of this review in different aspects of cancer research. Out of the many studies dedicated to cancer biomarker discovery, we were able to devise some clear trends, such as the fact that breast cancer is the most common type of tumor studied and that most of the research for any given type of cancer is focused on the discovery diagnostic biomarkers, with the exception of those that rely on samples other than plasma and serum, which are generally aimed toward prognostic markers. Interestingly, the most common type of targeted approach is based on stable isotope dilution-selected reaction monitoring protocols for quantification of the target molecules. Overall, this reinforces that notion that targeted proteomics has already started to fulfill its role as a groundbreaking strategy that may enable researchers to catapult the number of viable, effective, and validated biomarkers in cancer clinical practice.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 166 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 37 22%
Student > Master 20 12%
Student > Ph. D. Student 17 10%
Researcher 12 7%
Student > Doctoral Student 7 4%
Other 16 10%
Unknown 57 34%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 48 29%
Medicine and Dentistry 15 9%
Agricultural and Biological Sciences 11 7%
Engineering 7 4%
Chemistry 6 4%
Other 14 8%
Unknown 65 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 02 October 2018.
All research outputs
#7,325,984
of 26,311,549 outputs
Outputs from Frontiers in oncology
#2,478
of 22,970 outputs
Outputs of similar age
#107,549
of 326,862 outputs
Outputs of similar age from Frontiers in oncology
#13
of 66 outputs
Altmetric has tracked 26,311,549 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 22,970 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done well, scoring higher than 89% 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 326,862 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 66% of its contemporaries.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.