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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Modelling Outcomes of Complex Treatment Strategies Following a Clinical Guideline for Treatment Decisions in Patients with Rheumatoid Arthritis
|
|---|---|
| Published in |
PharmacoEconomics, June 2014
|
| DOI | 10.1007/s40273-014-0184-4 |
| Pubmed ID | |
| Authors |
An Tran-Duy, Annelies Boonen, Wietske Kievit, Piet L. C. M. van Riel, Mart A. F. J. van de Laar, Johan L. Severens |
| Abstract |
Management of rheumatoid arthritis (RA) is characterised by a sequence of disease-modifying antirheumatic drugs (DMARDs) and biological response modifiers (BRMs). In most of the Western countries, the drug sequences are determined based on disease activity and treatment history of the patients. A model for realistic patient outcomes should reflect the treatment pathways relevant for patients with specific characteristics. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 3% |
| Switzerland | 1 | 1% |
| Unknown | 69 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 14 | 19% |
| Researcher | 13 | 18% |
| Student > Ph. D. Student | 9 | 13% |
| Other | 7 | 10% |
| Student > Bachelor | 4 | 6% |
| Other | 14 | 19% |
| Unknown | 11 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 32% |
| Economics, Econometrics and Finance | 10 | 14% |
| Nursing and Health Professions | 6 | 8% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Psychology | 4 | 6% |
| Other | 12 | 17% |
| Unknown | 13 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 14 September 2017.
All research outputs
#7,200,470
of 22,757,541 outputs
Outputs from PharmacoEconomics
#813
of 1,816 outputs
Outputs of similar age
#70,173
of 227,594 outputs
Outputs of similar age from PharmacoEconomics
#15
of 31 outputs
Altmetric has tracked 22,757,541 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,816 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one has gotten more attention than average, scoring higher than 54% 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 227,594 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 68% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.