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A Bioinformatics Approach for the Phenotype Prediction of Nonsynonymous Single Nucleotide Polymorphisms in Human Cytochromes P450

Overview of attention for article published in Drug Metabolism and Disposition, February 2009
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Mentioned by

patent
1 patent

Citations

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40 Dimensions

Readers on

mendeley
74 Mendeley
citeulike
2 CiteULike
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Title
A Bioinformatics Approach for the Phenotype Prediction of Nonsynonymous Single Nucleotide Polymorphisms in Human Cytochromes P450
Published in
Drug Metabolism and Disposition, February 2009
DOI 10.1124/dmd.108.026047
Pubmed ID
Authors

Lin-Lin Wang, Yong Li, Shu-Feng Zhou

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 3%
Colombia 1 1%
Unknown 71 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 24%
Researcher 14 19%
Student > Master 9 12%
Professor > Associate Professor 8 11%
Student > Bachelor 5 7%
Other 16 22%
Unknown 4 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 34%
Biochemistry, Genetics and Molecular Biology 13 18%
Medicine and Dentistry 9 12%
Pharmacology, Toxicology and Pharmaceutical Science 7 9%
Computer Science 5 7%
Other 8 11%
Unknown 7 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 20 November 2012.
All research outputs
#7,550,598
of 23,035,022 outputs
Outputs from Drug Metabolism and Disposition
#602
of 2,330 outputs
Outputs of similar age
#50,131
of 172,047 outputs
Outputs of similar age from Drug Metabolism and Disposition
#8
of 30 outputs
Altmetric has tracked 23,035,022 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,330 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 43rd percentile – i.e., 43% 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 172,047 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.