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Modeling drug resistance in a conjoint normal-tumor setting

Overview of attention for article published in Theoretical Biology and Medical Modelling, January 2015
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1 Facebook page

Citations

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5 Dimensions

Readers on

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17 Mendeley
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Title
Modeling drug resistance in a conjoint normal-tumor setting
Published in
Theoretical Biology and Medical Modelling, January 2015
DOI 10.1186/1742-4682-12-3
Pubmed ID
Authors

Mitra Shojania Feizabadi, Tarynn M Witten

Abstract

In this paper, we modify our previously developed conjoint tumor-normal cell model in order to make a distinction between tumor cells that are responsive to chemotherapy and those that may show resistance.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 6%
Unknown 16 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 18%
Other 2 12%
Researcher 2 12%
Professor 1 6%
Lecturer 1 6%
Other 2 12%
Unknown 6 35%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 24%
Biochemistry, Genetics and Molecular Biology 2 12%
Mathematics 2 12%
Medicine and Dentistry 1 6%
Neuroscience 1 6%
Other 2 12%
Unknown 5 29%
Attention Score in Context

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 06 February 2015.
All research outputs
#20,257,230
of 22,786,691 outputs
Outputs from Theoretical Biology and Medical Modelling
#246
of 287 outputs
Outputs of similar age
#319,003
of 379,803 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#4
of 4 outputs
Altmetric has tracked 22,786,691 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 287 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. 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 379,803 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 4 others from the same source and published within six weeks on either side of this one.