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Concomitant use of tamoxifen and endoxifen in postmenopausal early breast cancer: prediction of plasma levels by physiologically-based pharmacokinetic modeling

Overview of attention for article published in SpringerPlus, June 2014
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Mentioned by

facebook
1 Facebook page
googleplus
1 Google+ user

Citations

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11 Dimensions

Readers on

mendeley
44 Mendeley
Title
Concomitant use of tamoxifen and endoxifen in postmenopausal early breast cancer: prediction of plasma levels by physiologically-based pharmacokinetic modeling
Published in
SpringerPlus, June 2014
DOI 10.1186/2193-1801-3-285
Pubmed ID
Authors

Kristin Dickschen, Thomas Eissing, Thomas Mürdter, Matthias Schwab, Stefan Willmann, Georg Hempel

Abstract

To overcome cytochrome P450 2D6 (CYP2D6) mediated tamoxifen resistance in postmenopausal early breast cancer, CYP2D6 phenotype-adjusted tamoxifen dosing in patients with impaired CYP2D6 metabolism and/or the application of endoxifen, the most potent tamoxifen metabolite, are alternative treatment options. To elucidate both strategies comprehensively we used a physiologically-based pharmacokinetic (PBPK) modeling approach.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Chile 1 2%
Brazil 1 2%
Unknown 41 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 27%
Researcher 9 20%
Professor 4 9%
Student > Master 3 7%
Student > Doctoral Student 2 5%
Other 7 16%
Unknown 7 16%
Readers by discipline Count As %
Medicine and Dentistry 11 25%
Pharmacology, Toxicology and Pharmaceutical Science 8 18%
Agricultural and Biological Sciences 7 16%
Biochemistry, Genetics and Molecular Biology 4 9%
Mathematics 1 2%
Other 5 11%
Unknown 8 18%
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 02 July 2014.
All research outputs
#14,782,376
of 22,758,248 outputs
Outputs from SpringerPlus
#835
of 1,852 outputs
Outputs of similar age
#127,204
of 228,024 outputs
Outputs of similar age from SpringerPlus
#37
of 70 outputs
Altmetric has tracked 22,758,248 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,852 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 49th percentile – i.e., 49% 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 228,024 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.