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Association of CYP3A4/5, ABCB1 and ABCC2 polymorphisms and clinical outcomes of Thai breast cancer patients treated with tamoxifen

Overview of attention for article published in Pharmacogenomics and Personalized Medicine, August 2013
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
28 Mendeley
Title
Association of CYP3A4/5, ABCB1 and ABCC2 polymorphisms and clinical outcomes of Thai breast cancer patients treated with tamoxifen
Published in
Pharmacogenomics and Personalized Medicine, August 2013
DOI 10.2147/pgpm.s44006
Pubmed ID
Authors

Insee Sensorn, Ekaphop Sirachainan, Montri Chamnanphol, Porntip Supavilai, Darawan Pinthong, Chonlaphat Sukasem, Ekawat Pasomsub, Trachu

Abstract

Pharmacogenetic study of cytochrome P450 (CYP) gene CYP2D6 and tamoxifen outcomes remain controversial. Apart from CYP2D6, other drug-metabolizing enzymes and transporters also play a role in tamoxifen metabolic pathways. The aim of this study is to investigate the impact of CYP3A4/5, ABCB1, and ABCC2 polymorphisms on the risk of recurrence in Thai patients who received tamoxifen adjuvant therapy.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Thailand 1 4%
Brazil 1 4%
Unknown 26 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 14%
Student > Bachelor 4 14%
Researcher 4 14%
Student > Master 4 14%
Other 3 11%
Other 7 25%
Unknown 2 7%
Readers by discipline Count As %
Medicine and Dentistry 9 32%
Biochemistry, Genetics and Molecular Biology 6 21%
Agricultural and Biological Sciences 4 14%
Computer Science 2 7%
Pharmacology, Toxicology and Pharmaceutical Science 2 7%
Other 2 7%
Unknown 3 11%

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 03 December 2013.
All research outputs
#2,118,402
of 4,759,378 outputs
Outputs from Pharmacogenomics and Personalized Medicine
#4
of 4 outputs
Outputs of similar age
#37,764
of 95,867 outputs
Outputs of similar age from Pharmacogenomics and Personalized Medicine
#54
of 139 outputs
Altmetric has tracked 4,759,378 research outputs across all sources so far. This one has received more attention than most of these and is in the 54th percentile.
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 95,867 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 59% of its contemporaries.
We're also able to compare this research output to 139 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.