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Mathematical modeling of the effects of glutathione on arsenic methylation

Overview of attention for article published in Theoretical Biology and Medical Modelling, May 2014
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Mentioned by

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1 Facebook page

Citations

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16 Dimensions

Readers on

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37 Mendeley
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Title
Mathematical modeling of the effects of glutathione on arsenic methylation
Published in
Theoretical Biology and Medical Modelling, May 2014
DOI 10.1186/1742-4682-11-20
Pubmed ID
Authors

Sean D Lawley, Jina Yun, Mary V Gamble, Megan N Hall, Michael C Reed, H Frederik Nijhout

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 3%
Unknown 36 97%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 8 22%
Researcher 6 16%
Student > Master 6 16%
Student > Ph. D. Student 5 14%
Student > Bachelor 4 11%
Other 4 11%
Unknown 4 11%
Readers by discipline Count As %
Medicine and Dentistry 7 19%
Agricultural and Biological Sciences 6 16%
Chemistry 5 14%
Biochemistry, Genetics and Molecular Biology 2 5%
Immunology and Microbiology 2 5%
Other 7 19%
Unknown 8 22%
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 07 August 2017.
All research outputs
#20,308,732
of 22,849,304 outputs
Outputs from Theoretical Biology and Medical Modelling
#247
of 287 outputs
Outputs of similar age
#193,084
of 227,226 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#8
of 14 outputs
Altmetric has tracked 22,849,304 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 227,226 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 14 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.