You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Attention Score in Context
| Title |
Dissecting asthma using focused transgenic modeling and functional genomics
|
|---|---|
| Published in |
The Journal of Allergy and Clinical Immunology, August 2005
|
| DOI | 10.1016/j.jaci.2005.03.024 |
| Pubmed ID | |
| Authors |
Douglas A. Kuperman, Christina C. Lewis, Prescott G. Woodruff, Madeleine W. Rodriguez, Yee Hwa Yang, Gregory M. Dolganov, John V. Fahy, David J. Erle |
| Abstract |
Asthma functional genomics studies are challenging because it is difficult to relate gene expression changes to specific disease mechanisms or pathophysiologic features. Use of simplified model systems might help to address this problem. One such model is the IL-13/Epi (IL-13-overexpressing transgenic mice with STAT6 expression limited to epithelial cells) focused transgenic mouse, which isolates the effects of a single mediator, IL-13, on a single cell type, the airway epithelial cell. These mice develop airway hyperreactivity and mucus overproduction but not airway inflammation. |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 59 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 25% |
| Researcher | 12 | 20% |
| Professor > Associate Professor | 5 | 8% |
| Student > Doctoral Student | 4 | 7% |
| Student > Bachelor | 3 | 5% |
| Other | 9 | 15% |
| Unknown | 13 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 33% |
| Biochemistry, Genetics and Molecular Biology | 9 | 15% |
| Medicine and Dentistry | 8 | 13% |
| Immunology and Microbiology | 5 | 8% |
| Mathematics | 1 | 2% |
| Other | 2 | 3% |
| Unknown | 16 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 18 January 2022.
All research outputs
#5,446,994
of 25,374,647 outputs
Outputs from The Journal of Allergy and Clinical Immunology
#4,267
of 11,242 outputs
Outputs of similar age
#12,804
of 68,158 outputs
Outputs of similar age from The Journal of Allergy and Clinical Immunology
#21
of 65 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,242 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.7. This one has gotten more attention than average, scoring higher than 55% 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 68,158 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.