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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Methods to Elicit Probability Distributions from Experts: A Systematic Review of Reported Practice in Health Technology Assessment
|
|---|---|
| Published in |
PharmacoEconomics, October 2013
|
| DOI | 10.1007/s40273-013-0092-z |
| Pubmed ID | |
| Authors |
Bogdan Grigore, Jaime Peters, Christopher Hyde, Ken Stein |
| Abstract |
Elicitation is a technique that can be used to obtain probability distribution from experts about unknown quantities. We conducted a methodology review of reports where probability distributions had been elicited from experts to be used in model-based health technology assessments. |
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 % |
|---|---|---|
| United Kingdom | 2 | 67% |
| Canada | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 90 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 18 | 20% |
| Researcher | 14 | 16% |
| Student > Ph. D. Student | 13 | 14% |
| Student > Bachelor | 6 | 7% |
| Student > Doctoral Student | 5 | 6% |
| Other | 13 | 14% |
| Unknown | 21 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 16 | 18% |
| Medicine and Dentistry | 11 | 12% |
| Social Sciences | 7 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 7% |
| Nursing and Health Professions | 4 | 4% |
| Other | 18 | 20% |
| Unknown | 28 | 31% |
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 14 October 2013.
All research outputs
#14,178,787
of 22,725,280 outputs
Outputs from PharmacoEconomics
#1,407
of 1,815 outputs
Outputs of similar age
#117,597
of 209,651 outputs
Outputs of similar age from PharmacoEconomics
#13
of 19 outputs
Altmetric has tracked 22,725,280 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,815 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one is in the 20th percentile – i.e., 20% 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 209,651 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.