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Dove Medical Press

Candidate cancer-targeting agents identified by expression-profiling arrays

Overview of attention for article published in OncoTargets and therapy, April 2013
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Title
Candidate cancer-targeting agents identified by expression-profiling arrays
Published in
OncoTargets and therapy, April 2013
DOI 10.2147/ott.s42858
Pubmed ID
Authors

Vittavat Termglinchan, Wachiraporn Wanichnopparat, Kulachanya Suwanwongse, Chunhakarn Teeyapant, Kanticha Chatpermporn, Kanchana Leerunyakul, Khwanruthai Chuadpia, Onpailin Sirimaneethum, Parinya Wijitworawong, Wattanakitch Mutirangura, Chatchawit Aporntewan, Chanida Vinayanuwattikun, Apiwat Mutirangura

Abstract

One particularly promising component of personalized medicine in cancer treatment is targeted therapy, which aims to maximize therapeutic efficacy while minimizing toxicity. However, the number of approved targeted agents remains limited. Expression microarray data for different types of cancer are resources to identify genes that were upregulated. The genes are candidate targets for cancer-targeting agents for future anticancer research and targeted treatments.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 33%
Researcher 2 17%
Student > Master 2 17%
Professor 1 8%
Librarian 1 8%
Other 1 8%
Unknown 1 8%
Readers by discipline Count As %
Medicine and Dentistry 7 58%
Agricultural and Biological Sciences 2 17%
Social Sciences 1 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 8%
Unknown 1 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 16 May 2013.
All research outputs
#15,305,492
of 25,584,565 outputs
Outputs from OncoTargets and therapy
#785
of 2,967 outputs
Outputs of similar age
#119,111
of 213,424 outputs
Outputs of similar age from OncoTargets and therapy
#21
of 28 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,967 research outputs from this source. They receive a mean Attention Score of 3.0. This one has gotten more attention than average, scoring higher than 71% 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 213,424 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.