| Title |
Cost Effectiveness of Fingolimod, Teriflunomide, Dimethyl Fumarate and Intramuscular Interferon-β1a in Relapsing-Remitting Multiple Sclerosis
|
|---|---|
| Published in |
CNS Drugs, October 2014
|
| DOI | 10.1007/s40263-014-0207-x |
| Pubmed ID | |
| Authors |
Xinke Zhang, Joel W. Hay, Xiaoli Niu |
| Abstract |
The aim of the study was to compare the cost effectiveness of fingolimod, teriflunomide, dimethyl fumarate, and intramuscular (IM) interferon (IFN)-β1a as first-line therapies in the treatment of patients with relapsing-remitting multiple sclerosis (RRMS). |
Mendeley readers
The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Portugal | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 88 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 15 | 16% |
| Other | 13 | 14% |
| Student > Ph. D. Student | 13 | 14% |
| Researcher | 9 | 10% |
| Student > Bachelor | 8 | 9% |
| Other | 12 | 13% |
| Unknown | 21 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 29 | 32% |
| Economics, Econometrics and Finance | 12 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 8% |
| Neuroscience | 4 | 4% |
| Computer Science | 2 | 2% |
| Other | 13 | 14% |
| Unknown | 24 | 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 October 2022.
All research outputs
#4,896,388
of 23,543,207 outputs
Outputs from CNS Drugs
#456
of 1,322 outputs
Outputs of similar age
#55,245
of 260,498 outputs
Outputs of similar age from CNS Drugs
#3
of 11 outputs
Altmetric has tracked 23,543,207 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,322 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 59% 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 260,498 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 11 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 72% of its contemporaries.