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Subtypes of Asthma Defined by Epithelial Cell Expression of Messenger RNA and MicroRNA

Overview of attention for article published in Annals of the American Thoracic Society, December 2013
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Title
Subtypes of Asthma Defined by Epithelial Cell Expression of Messenger RNA and MicroRNA
Published in
Annals of the American Thoracic Society, December 2013
DOI 10.1513/annalsats.201303-070aw
Pubmed ID
Authors

Prescott G. Woodruff

Abstract

Human asthma can be subcategorized in several ways, but one powerful approach is to subtype asthma on the basis of underlying cellular and molecular mechanisms. Groups of patients with a disease that share a common underlying biology are termed an "endotype." Endotypes of asthma have been studied at both the cellular level (by cytological examination of induced sputum) and, increasingly, at the molecular level. Genome-wide analyses of mRNA expression within the lung have been useful in the identification of molecular endotypes of asthma and point to protein biomarkers of those endotypes that can be measured in the blood. More recently, studies of microRNA expression in airway epithelial cells in asthma have identified additional candidate biomarkers of asthma endotypes. One potentially valuable property of microRNAs is that they can also be measured in extracellular fluids and therefore have the potential to serve directly as noninvasively measured biomarkers.

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

Geographical breakdown

Country Count As %
Germany 1 4%
Unknown 23 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 13%
Researcher 3 13%
Professor > Associate Professor 3 13%
Student > Master 3 13%
Professor 2 8%
Other 4 17%
Unknown 6 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 25%
Medicine and Dentistry 6 25%
Biochemistry, Genetics and Molecular Biology 2 8%
Immunology and Microbiology 2 8%
Unspecified 1 4%
Other 1 4%
Unknown 6 25%
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 01 September 2014.
All research outputs
#15,304,580
of 22,761,738 outputs
Outputs from Annals of the American Thoracic Society
#2,310
of 2,937 outputs
Outputs of similar age
#192,875
of 307,245 outputs
Outputs of similar age from Annals of the American Thoracic Society
#32
of 54 outputs
Altmetric has tracked 22,761,738 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,937 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.3. This one is in the 15th percentile – i.e., 15% 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 307,245 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.