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Advances in the proteomic discovery of novel therapeutic targets in cancer

Overview of attention for article published in Drug Design, Development and Therapy, October 2013
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Mentioned by

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1 tweeter

Citations

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23 Dimensions

Readers on

mendeley
64 Mendeley
Title
Advances in the proteomic discovery of novel therapeutic targets in cancer
Published in
Drug Design, Development and Therapy, October 2013
DOI 10.2147/dddt.s52216
Pubmed ID
Authors

Shanchun Guo, Jin Zou, Guangdi Wang

Abstract

Proteomic approaches are continuing to make headways in cancer research by helping to elucidate complex signaling networks that underlie tumorigenesis and disease progression. This review describes recent advances made in the proteomic discovery of drug targets for therapeutic development. A variety of technical and methodological advances are overviewed with a critical assessment of challenges and potentials. A number of potential drug targets, such as baculoviral inhibitor of apoptosis protein repeat-containing protein 6, macrophage inhibitory cytokine 1, phosphoglycerate mutase 1, prohibitin 1, fascin, and pyruvate kinase isozyme 2 were identified in the proteomic analysis of drug-resistant cancer cells, drug action, and differential disease state tissues. Future directions for proteomics-based target identification and validation to be more translation efficient are also discussed.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
United States 1 2%
Italy 1 2%
Unknown 61 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 25%
Researcher 10 16%
Student > Bachelor 7 11%
Student > Master 7 11%
Professor > Associate Professor 5 8%
Other 14 22%
Unknown 5 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 27%
Biochemistry, Genetics and Molecular Biology 12 19%
Medicine and Dentistry 12 19%
Pharmacology, Toxicology and Pharmaceutical Science 6 9%
Engineering 3 5%
Other 7 11%
Unknown 7 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 October 2013.
All research outputs
#11,126,293
of 12,510,237 outputs
Outputs from Drug Design, Development and Therapy
#939
of 1,315 outputs
Outputs of similar age
#149,380
of 176,470 outputs
Outputs of similar age from Drug Design, Development and Therapy
#23
of 35 outputs
Altmetric has tracked 12,510,237 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,315 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 176,470 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.