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The biochemistry of acetaminophen hepatotoxicity and rescue: a mathematical model

Overview of attention for article published in Theoretical Biology and Medical Modelling, December 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
1 X user
facebook
1 Facebook page
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
75 Dimensions

Readers on

mendeley
157 Mendeley
citeulike
1 CiteULike
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Title
The biochemistry of acetaminophen hepatotoxicity and rescue: a mathematical model
Published in
Theoretical Biology and Medical Modelling, December 2012
DOI 10.1186/1742-4682-9-55
Pubmed ID
Authors

Rotem Ben-Shachar, Yifei Chen, Shishi Luo, Catherine Hartman, Michael Reed, H Frederik Nijhout

Abstract

Acetaminophen (N-acetyl-para-aminophenol) is the most widely used over-the-counter or prescription painkiller in the world. Acetaminophen is metabolized in the liver where a toxic byproduct is produced that can be removed by conjugation with glutathione. Acetaminophen overdoses, either accidental or intentional, are the leading cause of acute liver failure in the United States, accounting for 56,000 emergency room visits per year. The standard treatment for overdose is N-acetyl-cysteine (NAC), which is given to stimulate the production of glutathione.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
United Kingdom 2 1%
South Africa 1 <1%
Mexico 1 <1%
Chile 1 <1%
Unknown 149 95%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 30 19%
Student > Ph. D. Student 22 14%
Researcher 22 14%
Student > Master 18 11%
Other 10 6%
Other 20 13%
Unknown 35 22%
Readers by discipline Count As %
Medicine and Dentistry 28 18%
Agricultural and Biological Sciences 24 15%
Biochemistry, Genetics and Molecular Biology 21 13%
Pharmacology, Toxicology and Pharmaceutical Science 14 9%
Chemistry 6 4%
Other 22 14%
Unknown 42 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 12 July 2023.
All research outputs
#7,881,623
of 25,654,806 outputs
Outputs from Theoretical Biology and Medical Modelling
#91
of 288 outputs
Outputs of similar age
#78,161
of 289,767 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#1
of 9 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 288 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 68% of its peers.
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 289,767 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 72% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them