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Molecular targeted therapies in metastatic melanoma

Overview of attention for article published in Pharmacogenomics and Personalized Medicine, June 2013
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Mentioned by

twitter
1 tweeter

Citations

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33 Dimensions

Readers on

mendeley
48 Mendeley
Title
Molecular targeted therapies in metastatic melanoma
Published in
Pharmacogenomics and Personalized Medicine, June 2013
DOI 10.2147/pgpm.s44800
Pubmed ID
Authors

Nneka Comfere, Chakraborty, Wieland

Abstract

The advent of personalized medicine has ushered in a new era for cancer therapy with a significant impact on the management of advanced melanoma. Molecular targeted therapies have shown promise in the management of various malignancies, including melanoma, with lower toxicity profiles and better overall survival as compared with conventional therapy. The discovery of BRAF mutations in melanoma led to the development of BRAF inhibitors for the treatment of advanced melanoma. However, growing concerns over drug resistance to molecular targeted therapies including BRAF inhibitors, have spurred efforts to elucidate additional molecular targets for the treatment of advanced melanoma. In this review, we discuss the known molecular aberrations in melanoma, current and novel targeted approaches in its treatment, and drug resistance patterns.

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

Geographical breakdown

Country Count As %
Canada 1 2%
Unknown 47 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 27%
Researcher 8 17%
Student > Master 8 17%
Student > Bachelor 7 15%
Other 4 8%
Other 4 8%
Unknown 4 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 35%
Medicine and Dentistry 10 21%
Biochemistry, Genetics and Molecular Biology 9 19%
Economics, Econometrics and Finance 2 4%
Chemical Engineering 1 2%
Other 3 6%
Unknown 6 13%

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 01 July 2013.
All research outputs
#3,982,599
of 4,759,378 outputs
Outputs from Pharmacogenomics and Personalized Medicine
#4
of 4 outputs
Outputs of similar age
#76,410
of 91,567 outputs
Outputs of similar age from Pharmacogenomics and Personalized Medicine
#140
of 166 outputs
Altmetric has tracked 4,759,378 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 4 research outputs from this source. They receive a mean Attention Score of 0.2. This one scored the same or higher as 0 of them.
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 91,567 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 166 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.