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Predicting functional and regulatory divergence of a drug resistance transporter gene in the human malaria parasite

Overview of attention for article published in BMC Genomics, February 2015
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Title
Predicting functional and regulatory divergence of a drug resistance transporter gene in the human malaria parasite
Published in
BMC Genomics, February 2015
DOI 10.1186/s12864-015-1261-6
Pubmed ID
Authors

Geoffrey H Siwo, Asako Tan, Katrina A Button-Simons, Upeka Samarakoon, Lisa A Checkley, Richard S Pinapati, Michael T Ferdig

Abstract

The paradigm of resistance evolution to chemotherapeutic agents is that a key coding mutation in a specific gene drives resistance to a particular drug. In the case of resistance to the anti-malarial drug chloroquine (CQ), a specific mutation in the transporter pfcrt is associated with resistance. Here, we apply a series of analytical steps to gene expression data from our lab and leverage 3 independent datasets to identify pfcrt-interacting genes. Resulting networks provide insights into pfcrt's biological functions and regulation, as well as the divergent phenotypic effects of its allelic variants in different genetic backgrounds.

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The data shown below were collected from the profiles of 2 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Unknown 37 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 16%
Researcher 6 16%
Student > Ph. D. Student 6 16%
Student > Bachelor 3 8%
Student > Postgraduate 2 5%
Other 5 13%
Unknown 10 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 24%
Biochemistry, Genetics and Molecular Biology 8 21%
Medicine and Dentistry 6 16%
Economics, Econometrics and Finance 1 3%
Computer Science 1 3%
Other 2 5%
Unknown 11 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 16 March 2015.
All research outputs
#18,833,976
of 23,341,064 outputs
Outputs from BMC Genomics
#8,270
of 10,744 outputs
Outputs of similar age
#186,720
of 256,221 outputs
Outputs of similar age from BMC Genomics
#216
of 267 outputs
Altmetric has tracked 23,341,064 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,744 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% 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 256,221 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 267 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.