| Title |
Predictors of biologic treatment of psoriasis: a non-interventional study
|
|---|---|
| Published in |
ClinicoEconomics and Outcomes Research: CEOR, February 2014
|
| DOI | 10.2147/ceor.s54797 |
| Pubmed ID | |
| Authors |
Luis Puig, Tao Fan, Qian Ding, Nancy E Smith |
| Abstract |
Biologic therapies represent a significant advance in the treatment of psoriasis. However, no studies have examined the patient characteristics predictive of biologic treatment of psoriasis. The purpose of this study was to ascertain the frequency and predictors of treatment of psoriasis with biologics in three European countries, ie, France, Spain, and the UK. |
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 % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 4 | 16% |
| Student > Bachelor | 2 | 8% |
| Student > Postgraduate | 2 | 8% |
| Researcher | 2 | 8% |
| Professor | 2 | 8% |
| Other | 3 | 12% |
| Unknown | 10 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 24% |
| Biochemistry, Genetics and Molecular Biology | 3 | 12% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 8% |
| Economics, Econometrics and Finance | 1 | 4% |
| Immunology and Microbiology | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 12 | 48% |
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 02 March 2014.
All research outputs
#16,969,239
of 25,714,183 outputs
Outputs from ClinicoEconomics and Outcomes Research: CEOR
#314
of 527 outputs
Outputs of similar age
#198,702
of 324,506 outputs
Outputs of similar age from ClinicoEconomics and Outcomes Research: CEOR
#8
of 12 outputs
Altmetric has tracked 25,714,183 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 527 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one is in the 37th percentile – i.e., 37% 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 324,506 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.