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From expression pattern to genetic association in asthma and asthma-related phenotypes

Overview of attention for article published in BMC Research Notes, November 2012
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  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

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Title
From expression pattern to genetic association in asthma and asthma-related phenotypes
Published in
BMC Research Notes, November 2012
DOI 10.1186/1756-0500-5-630
Pubmed ID
Authors

Vanessa T Vaillancourt, Martine Bordeleau, Michel Laviolette, Catherine Laprise

Abstract

Asthma is a complex disease characterized by hyperresponsiveness, obstruction and inflammation of the airways. To date, several studies using different approaches as candidate genes approach, genome wide association studies, linkage analysis and genomic expression leaded to the identification of over 300 genes involved in asthma pathophysiology. Combining results from two studies of genomic expression, this study aims to perform an association analysis between genes differently expressed in bronchial biopsies of asthmatics compared to controls and asthma-related phenotypes using the same French-Canadian Caucasian population.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 7%
Unknown 13 93%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 29%
Student > Ph. D. Student 2 14%
Other 1 7%
Student > Doctoral Student 1 7%
Student > Bachelor 1 7%
Other 2 14%
Unknown 3 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 21%
Environmental Science 2 14%
Biochemistry, Genetics and Molecular Biology 2 14%
Medicine and Dentistry 2 14%
Psychology 1 7%
Other 1 7%
Unknown 3 21%
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 06 June 2013.
All research outputs
#13,024,245
of 22,685,926 outputs
Outputs from BMC Research Notes
#1,586
of 4,253 outputs
Outputs of similar age
#94,740
of 179,099 outputs
Outputs of similar age from BMC Research Notes
#34
of 75 outputs
Altmetric has tracked 22,685,926 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,253 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. 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 179,099 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 75 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 53% of its contemporaries.