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Genes associated with MUC5AC expression in small airway epithelium of human smokers and non-smokers

Overview of attention for article published in BMC Medical Genomics, June 2012
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2 X users

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63 Mendeley
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Title
Genes associated with MUC5AC expression in small airway epithelium of human smokers and non-smokers
Published in
BMC Medical Genomics, June 2012
DOI 10.1186/1755-8794-5-21
Pubmed ID
Authors

Guoqing Wang, Zhibo Xu, Rui Wang, Mohammed Al-Hijji, Jacqueline Salit, Yael Strulovici-Barel, Ann E Tilley, Jason G Mezey, Ronald G Crystal

Abstract

Mucus hypersecretion contributes to the morbidity and mortality of smoking-related lung diseases, especially chronic obstructive pulmonary disease (COPD), which starts in the small airways. Despite progress in animal studies, the genes and their expression pattern involved in mucus production and secretion in human airway epithelium are not well understood. We hypothesized that comparison of the transcriptomes of the small airway epithelium of individuals that express high vs low levels of MUC5AC, the major macromolecular component of airway mucus, could be used as a probe to identify the genes related to human small airway mucus production/secretion.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 3%
United States 2 3%
France 1 2%
Germany 1 2%
United Kingdom 1 2%
India 1 2%
Unknown 55 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 32%
Researcher 11 17%
Student > Bachelor 8 13%
Student > Master 5 8%
Student > Doctoral Student 4 6%
Other 6 10%
Unknown 9 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 29%
Biochemistry, Genetics and Molecular Biology 14 22%
Medicine and Dentistry 13 21%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Computer Science 1 2%
Other 6 10%
Unknown 9 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 11 June 2012.
All research outputs
#14,146,599
of 22,668,244 outputs
Outputs from BMC Medical Genomics
#562
of 1,211 outputs
Outputs of similar age
#98,171
of 166,837 outputs
Outputs of similar age from BMC Medical Genomics
#11
of 19 outputs
Altmetric has tracked 22,668,244 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,211 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 50% 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 166,837 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.