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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The impact of incorporating Bayesian network meta-analysis in cost-effectiveness analysis - a case study of pharmacotherapies for moderate to severe COPD
|
|---|---|
| Published in |
Cost Effectiveness and Resource Allocation, March 2014
|
| DOI | 10.1186/1478-7547-12-8 |
| Pubmed ID | |
| Authors |
Kristian Thorlund, Zafar Zafari, Eric Druyts, Edward J Mills, Mohsen Sadatsafavi |
| Abstract |
To evaluate the impact of using network meta-analysis (NMA) versus pair wise meta-analyses (PMA) for evidence synthesis on key outputs of cost-effectiveness analysis (CEA). |
X Demographics
The data shown below were collected from the profiles of 5 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 Kingdom | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 2% |
| United Kingdom | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 57 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 23% |
| Student > Ph. D. Student | 8 | 13% |
| Student > Master | 7 | 12% |
| Professor > Associate Professor | 6 | 10% |
| Professor | 5 | 8% |
| Other | 12 | 20% |
| Unknown | 8 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 27 | 45% |
| Economics, Econometrics and Finance | 6 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 7% |
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Agricultural and Biological Sciences | 2 | 3% |
| Other | 9 | 15% |
| Unknown | 9 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 13 March 2014.
All research outputs
#14,913,921
of 25,371,288 outputs
Outputs from Cost Effectiveness and Resource Allocation
#312
of 532 outputs
Outputs of similar age
#118,022
of 235,719 outputs
Outputs of similar age from Cost Effectiveness and Resource Allocation
#6
of 7 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 532 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one is in the 40th percentile – i.e., 40% 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 235,719 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.