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X Demographics
Mendeley readers
Attention Score in Context
Title |
Identification of Novel Biomarkers in Seasonal Allergic Rhinitis by Combining Proteomic, Multivariate and Pathway Analysis
|
---|---|
Published in |
PLOS ONE, August 2011
|
DOI | 10.1371/journal.pone.0023563 |
Pubmed ID | |
Authors |
Hui Wang, Johan Gottfries, Fredrik Barrenäs, Mikael Benson |
Abstract |
Glucocorticoids (GCs) play a key role in the treatment of seasonal allergic rhinitis (SAR). However, some patients show a low response to GC treatment. We hypothesized that proteins that correlated to discrimination between symptomatic high and low responders (HR and LR) to GC treatment might be regulated by GCs and therefore suitable as biomarkers for GC treatment. |
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 % |
---|---|---|
Argentina | 1 | 25% |
Unknown | 3 | 75% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 2% |
Russia | 1 | 2% |
Unknown | 42 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 13 | 30% |
Student > Ph. D. Student | 11 | 25% |
Student > Master | 6 | 14% |
Student > Bachelor | 4 | 9% |
Student > Postgraduate | 2 | 5% |
Other | 4 | 9% |
Unknown | 4 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 16 | 36% |
Medicine and Dentistry | 8 | 18% |
Biochemistry, Genetics and Molecular Biology | 6 | 14% |
Chemistry | 2 | 5% |
Business, Management and Accounting | 1 | 2% |
Other | 6 | 14% |
Unknown | 5 | 11% |
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 10 September 2011.
All research outputs
#13,353,865
of 22,651,245 outputs
Outputs from PLOS ONE
#106,229
of 193,366 outputs
Outputs of similar age
#79,000
of 123,973 outputs
Outputs of similar age from PLOS ONE
#1,366
of 2,479 outputs
Altmetric has tracked 22,651,245 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 193,366 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 42nd percentile – i.e., 42% 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 123,973 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2,479 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.