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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evaluating Partitioned Survival and Markov Decision-Analytic Modeling Approaches for Use in Cost-Effectiveness Analysis: Estimating and Comparing Survival Outcomes
|
|---|---|
| Published in |
PharmacoEconomics, November 2019
|
| DOI | 10.1007/s40273-019-00845-x |
| Pubmed ID | |
| Authors |
Caitlin Smare, Khalid Lakhdari, Justin Doan, John Posnett, Sukhvinder Johal |
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 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 80 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 15% |
| Student > Bachelor | 9 | 11% |
| Student > Postgraduate | 6 | 8% |
| Student > Master | 5 | 6% |
| Student > Ph. D. Student | 5 | 6% |
| Other | 10 | 13% |
| Unknown | 33 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 16% |
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 9% |
| Economics, Econometrics and Finance | 6 | 8% |
| Biochemistry, Genetics and Molecular Biology | 4 | 5% |
| Business, Management and Accounting | 2 | 3% |
| Other | 11 | 14% |
| Unknown | 37 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 19 November 2019.
All research outputs
#18,699,437
of 23,175,240 outputs
Outputs from PharmacoEconomics
#1,661
of 1,868 outputs
Outputs of similar age
#335,671
of 457,296 outputs
Outputs of similar age from PharmacoEconomics
#24
of 29 outputs
Altmetric has tracked 23,175,240 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,868 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 3rd percentile – i.e., 3% 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 457,296 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.