↓ Skip to main content

Genetic predictors of the maximum doses patients receive during clinical use of the anti-epileptic drugs carbamazepine and phenytoin

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, April 2005
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

patent
2 patents
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
285 Dimensions

Readers on

mendeley
173 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Genetic predictors of the maximum doses patients receive during clinical use of the anti-epileptic drugs carbamazepine and phenytoin
Published in
Proceedings of the National Academy of Sciences of the United States of America, April 2005
DOI 10.1073/pnas.0407346102
Pubmed ID
Authors

Sarah K. Tate, Chantal Depondt, Sanjay M. Sisodiya, Gianpiero L. Cavalleri, Stephanie Schorge, Nicole Soranzo, Maria Thom, Arjune Sen, Simon D. Shorvon, Josemir W. Sander, Nicholas W. Wood, David B. Goldstein

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 173 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Switzerland 1 <1%
Sweden 1 <1%
Malaysia 1 <1%
Canada 1 <1%
Japan 1 <1%
Unknown 166 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 16%
Student > Ph. D. Student 26 15%
Student > Bachelor 15 9%
Student > Master 14 8%
Student > Postgraduate 13 8%
Other 53 31%
Unknown 24 14%
Readers by discipline Count As %
Medicine and Dentistry 47 27%
Agricultural and Biological Sciences 41 24%
Biochemistry, Genetics and Molecular Biology 17 10%
Pharmacology, Toxicology and Pharmaceutical Science 14 8%
Neuroscience 10 6%
Other 11 6%
Unknown 33 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 08 May 2023.
All research outputs
#5,225,908
of 24,625,114 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#46,893
of 101,438 outputs
Outputs of similar age
#11,654
of 63,792 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#184
of 520 outputs
Altmetric has tracked 24,625,114 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 101,438 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.8. This one is in the 44th percentile – i.e., 44% 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 63,792 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 70% of its contemporaries.
We're also able to compare this research output to 520 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.