| Title |
Modelling Methods for Pharmacoeconomics and Health Technology Assessment
|
|---|---|
| Published in |
PharmacoEconomics, September 2012
|
| DOI | 10.2165/00019053-200826020-00004 |
| Pubmed ID | |
| Authors |
James E. Stahl |
Mendeley readers
The data shown below were compiled from readership statistics for 177 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 2% |
| United States | 3 | 2% |
| Canada | 1 | <1% |
| Switzerland | 1 | <1% |
| Spain | 1 | <1% |
| China | 1 | <1% |
| Unknown | 167 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 37 | 21% |
| Student > Master | 27 | 15% |
| Student > Ph. D. Student | 24 | 14% |
| Student > Bachelor | 12 | 7% |
| Professor | 10 | 6% |
| Other | 34 | 19% |
| Unknown | 33 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 47 | 27% |
| Economics, Econometrics and Finance | 18 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 13 | 7% |
| Social Sciences | 10 | 6% |
| Engineering | 9 | 5% |
| Other | 38 | 21% |
| Unknown | 42 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 25 August 2020.
All research outputs
#3,798,945
of 25,374,917 outputs
Outputs from PharmacoEconomics
#382
of 1,992 outputs
Outputs of similar age
#27,335
of 191,346 outputs
Outputs of similar age from PharmacoEconomics
#70
of 568 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,992 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done well, scoring higher than 78% 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 191,346 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 84% of its contemporaries.
We're also able to compare this research output to 568 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.