| Title |
Network analysis identifies a putative role for the PPAR and type 1 interferon pathways in glucocorticoid actions in asthmatics
|
|---|---|
| Published in |
BMC Medical Genomics, June 2012
|
| DOI | 10.1186/1755-8794-5-27 |
| Pubmed ID | |
| Authors |
Diego Diez, Susumu Goto, John V Fahy, David J Erle, Prescott G Woodruff, Åsa M Wheelock, Craig E Wheelock |
| Abstract |
Asthma is a chronic inflammatory airway disease influenced by genetic and environmental factors that affects ~300 million people worldwide, leading to ~250,000 deaths annually. Glucocorticoids (GCs) are well-known therapeutics that are used extensively to suppress airway inflammation in asthmatics. The airway epithelium plays an important role in the initiation and modulation of the inflammatory response. While the role of GCs in disease management is well understood, few studies have examined the holistic effects on the airway epithelium. |
X Demographics
The data shown below were collected from the profiles of 3 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 States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 2% |
| United States | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 49 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 33% |
| Researcher | 10 | 19% |
| Student > Bachelor | 5 | 10% |
| Professor > Associate Professor | 4 | 8% |
| Professor | 3 | 6% |
| Other | 7 | 13% |
| Unknown | 6 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 31% |
| Medicine and Dentistry | 11 | 21% |
| Immunology and Microbiology | 4 | 8% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Computer Science | 2 | 4% |
| Other | 7 | 13% |
| Unknown | 9 | 17% |
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 04 July 2012.
All research outputs
#13,363,429
of 22,668,244 outputs
Outputs from BMC Medical Genomics
#498
of 1,211 outputs
Outputs of similar age
#90,868
of 164,469 outputs
Outputs of similar age from BMC Medical Genomics
#8
of 17 outputs
Altmetric has tracked 22,668,244 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% 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 56% 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 164,469 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 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 52% of its contemporaries.