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In silicoanalysis of HLA associations with drug-induced liver injury: use of a HLA-genotyped DNA archive from healthy volunteers

Overview of attention for article published in Genome Medicine, June 2012
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3 X users

Citations

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67 Mendeley
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Title
In silicoanalysis of HLA associations with drug-induced liver injury: use of a HLA-genotyped DNA archive from healthy volunteers
Published in
Genome Medicine, June 2012
DOI 10.1186/gm350
Pubmed ID
Authors

Ana Alfirevic, Faviel Gonzalez-Galarza, Catherine Bell, Klara Martinsson, Vivien Platt, Giovanna Bretland, Jane Evely, Maike Lichtenfels, Karin Cederbrant, Neil French, Dean Naisbitt, B Kevin Park, Andrew R Jones, Munir Pirmohamed

Abstract

Drug-induced liver injury (DILI) is one of the most common adverse reactions leading to product withdrawal post-marketing. Recently, genome-wide association studies have identified a number of human leukocyte antigen (HLA) alleles associated with DILI; however, the cellular and chemical mechanisms are not fully understood.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 3%
United States 2 3%
Japan 1 1%
France 1 1%
Unknown 61 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 22%
Student > Ph. D. Student 8 12%
Student > Bachelor 6 9%
Professor 5 7%
Professor > Associate Professor 5 7%
Other 14 21%
Unknown 14 21%
Readers by discipline Count As %
Medicine and Dentistry 14 21%
Agricultural and Biological Sciences 12 18%
Biochemistry, Genetics and Molecular Biology 9 13%
Pharmacology, Toxicology and Pharmaceutical Science 8 12%
Chemistry 2 3%
Other 8 12%
Unknown 14 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 27 June 2012.
All research outputs
#16,047,334
of 25,373,627 outputs
Outputs from Genome Medicine
#1,401
of 1,585 outputs
Outputs of similar age
#108,112
of 177,629 outputs
Outputs of similar age from Genome Medicine
#16
of 17 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,585 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one is in the 10th percentile – i.e., 10% 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 177,629 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.