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Mendeley readers
Attention Score in Context
Title |
Asthmatics with exacerbation during acute respiratory illness exhibit unique transcriptional signatures within the nasal mucosa
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Published in |
Genome Medicine, January 2014
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DOI | 10.1186/gm520 |
Pubmed ID | |
Authors |
Peter McErlean, Sergejs Berdnikovs, Silvio Favoreto, Junqing Shen, Assel Biyasheva, Rebecca Barbeau, Chris Eisley, Andrea Barczak, Theresa Ward, Robert P Schleimer, David J Erle, Homer A Boushey, Pedro C Avila |
Abstract |
Acute respiratory illness is the leading cause of asthma exacerbations yet the mechanisms underlying this association remain unclear. To address the deficiencies in our understanding of the molecular events characterizing acute respiratory illness-induced asthma exacerbations, we undertook a transcriptional profiling study of the nasal mucosa over the course of acute respiratory illness amongst individuals with a history of asthma, allergic rhinitis and no underlying respiratory disease. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 25% |
Canada | 1 | 25% |
Spain | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 50% |
Scientists | 1 | 25% |
Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Taiwan | 1 | 3% |
Unknown | 31 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 6 | 19% |
Student > Master | 6 | 19% |
Professor > Associate Professor | 5 | 16% |
Student > Ph. D. Student | 4 | 13% |
Other | 3 | 9% |
Other | 6 | 19% |
Unknown | 2 | 6% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 9 | 28% |
Agricultural and Biological Sciences | 5 | 16% |
Immunology and Microbiology | 5 | 16% |
Biochemistry, Genetics and Molecular Biology | 3 | 9% |
Unspecified | 1 | 3% |
Other | 3 | 9% |
Unknown | 6 | 19% |
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 21 February 2014.
All research outputs
#12,831,333
of 22,739,983 outputs
Outputs from Genome Medicine
#1,194
of 1,437 outputs
Outputs of similar age
#154,002
of 304,587 outputs
Outputs of similar age from Genome Medicine
#28
of 34 outputs
Altmetric has tracked 22,739,983 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,437 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.6. This one is in the 16th percentile – i.e., 16% 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 304,587 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.