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Association of HLA-B*5801 allele and allopurinol-induced stevens johnson syndrome and toxic epidermal necrolysis: a systematic review and meta-analysis

Overview of attention for article published in BMC Medical Genomics, September 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
1 news outlet
twitter
3 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
177 Dimensions

Readers on

mendeley
132 Mendeley
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Title
Association of HLA-B*5801 allele and allopurinol-induced stevens johnson syndrome and toxic epidermal necrolysis: a systematic review and meta-analysis
Published in
BMC Medical Genomics, September 2011
DOI 10.1186/1471-2350-12-118
Pubmed ID
Authors

Ratchadaporn Somkrua, Elizabeth E Eickman, Surasak Saokaew, Manupat Lohitnavy, Nathorn Chaiyakunapruk

Abstract

Despite some studies suggesting a possible association between human leukocyte antigen, HLA-B*5801 and allopurinol induced Stevens-Johnson Syndrome (SJS) and Toxic Epidermal Necrolysis (TEN), the evidence of association and its magnitude remain inconclusive. This study aims to systematically review and meta-analyze the association between HLA-B*5801 allele and allopurinol-induced SJS/TEN.

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 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Colombia 1 <1%
Malaysia 1 <1%
Korea, Republic of 1 <1%
United Kingdom 1 <1%
Unknown 127 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 14%
Researcher 18 14%
Student > Master 12 9%
Student > Postgraduate 10 8%
Student > Bachelor 8 6%
Other 33 25%
Unknown 33 25%
Readers by discipline Count As %
Medicine and Dentistry 56 42%
Pharmacology, Toxicology and Pharmaceutical Science 14 11%
Agricultural and Biological Sciences 14 11%
Biochemistry, Genetics and Molecular Biology 4 3%
Immunology and Microbiology 3 2%
Other 6 5%
Unknown 35 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 04 September 2021.
All research outputs
#2,575,636
of 25,374,917 outputs
Outputs from BMC Medical Genomics
#118
of 2,444 outputs
Outputs of similar age
#12,737
of 137,001 outputs
Outputs of similar age from BMC Medical Genomics
#4
of 28 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 95% 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 137,001 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.