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Genetic polymorphisms and asthma: findings from a case–control study in the Madeira island population

Overview of attention for article published in Biological Research, September 2014
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  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

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Title
Genetic polymorphisms and asthma: findings from a case–control study in the Madeira island population
Published in
Biological Research, September 2014
DOI 10.1186/0717-6287-47-40
Pubmed ID
Authors

Anabela Gonçalves Berenguer, Ana Teresa Fernandes, Susana Oliveira, Mariana Rodrigues, Pedro Ornelas, Diogo Romeira, Tânia Serrão, Alexandra Rosa, Rita Câmara

Abstract

Asthma is a complex disease influenced by multiple genetic and environmental factors. While Madeira has the highest prevalence of asthma in Portugal (14.6%), the effect of both genetic and environmental factors in this population has never been assessed. We categorized 98 asthma patients according to the Global Initiative for Asthma (GINA) guidelines, established their sensitization profile, and measured their forced expiratory volume in 1 second (FEV1) and forced vital capacity (FVC) indexes. Selected single nucleotide polymorphisms (SNPs) were analysed as potential markers for asthma susceptibility and severity in the interleukin 4 (IL4), interleukin 13 (IL13), beta-2-adrenergic receptor (ADRB2), a disintegrin and metalloprotease 33 (ADAM33), gasdermin-like (GSDML) and the signal transducer and activator of transcription 6 (STAT6) genes comparatively to a population reference set.

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The data shown below were collected from the profile of 1 X user 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 11%
Student > Master 4 9%
Other 3 7%
Student > Postgraduate 3 7%
Student > Doctoral Student 2 4%
Other 8 18%
Unknown 20 44%
Readers by discipline Count As %
Medicine and Dentistry 7 16%
Biochemistry, Genetics and Molecular Biology 4 9%
Agricultural and Biological Sciences 4 9%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Environmental Science 1 2%
Other 3 7%
Unknown 24 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 12 April 2016.
All research outputs
#17,283,763
of 25,371,288 outputs
Outputs from Biological Research
#326
of 642 outputs
Outputs of similar age
#149,170
of 249,397 outputs
Outputs of similar age from Biological Research
#4
of 10 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 642 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 35th percentile – i.e., 35% 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 249,397 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.