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Association of IL-18 polymorphisms with rheumatoid arthritis and systemic lupus erythematosus in Asian populations: a meta-analysis

Overview of attention for article published in BMC Medical Genomics, November 2012
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  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

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Title
Association of IL-18 polymorphisms with rheumatoid arthritis and systemic lupus erythematosus in Asian populations: a meta-analysis
Published in
BMC Medical Genomics, November 2012
DOI 10.1186/1471-2350-13-107
Pubmed ID
Authors

Shuilian Chen, Feng Jiang, Jiangping Ren, Jiajing Liu, Wei Meng

Abstract

Interleukin (IL)-18, an important proinflammatory cytokine, plays a potential pathological role in rheumatoid arthritis (RA) and systemic lupus erythematosus (SLE). Studies on the relationship of IL-18 gene promoter rs1946518 (-607A/C) polymorphism, rs187238 (-137G/C) polymorphism with RA and SLE are inconclusive. The aim of this study was to get a more precise estimation of the relationship in Asian populations.

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

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 25%
Student > Bachelor 3 13%
Professor 2 8%
Student > Doctoral Student 2 8%
Student > Ph. D. Student 2 8%
Other 2 8%
Unknown 7 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 33%
Medicine and Dentistry 5 21%
Biochemistry, Genetics and Molecular Biology 2 8%
Immunology and Microbiology 1 4%
Unknown 8 33%
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 28 November 2012.
All research outputs
#14,600,553
of 25,374,647 outputs
Outputs from BMC Medical Genomics
#894
of 2,444 outputs
Outputs of similar age
#106,188
of 192,220 outputs
Outputs of similar age from BMC Medical Genomics
#16
of 39 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 62% 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 192,220 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 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 58% of its contemporaries.