| Title |
Future Directions for Cost-effectiveness Analyses in Health and Medicine
|
|---|---|
| Published in |
Medical Decision Making, September 2018
|
| DOI | 10.1177/0272989x18798833 |
| Pubmed ID | |
| Authors |
Peter J. Neumann, David D. Kim, Thomas A. Trikalinos, Mark J. Sculpher, Joshua A. Salomon, Lisa A. Prosser, Douglas K. Owens, David O. Meltzer, Karen M. Kuntz, Murray Krahn, David Feeny, Anirban Basu, Louise B. Russell, Joanna E. Siegel, Theodore G. Ganiats, Gillian D. Sanders |
X Demographics
The data shown below were collected from the profiles of 50 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 States | 19 | 38% |
| United Kingdom | 5 | 10% |
| Argentina | 3 | 6% |
| Australia | 2 | 4% |
| Saudi Arabia | 1 | 2% |
| Jordan | 1 | 2% |
| Brazil | 1 | 2% |
| Canada | 1 | 2% |
| Belgium | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 16 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 33 | 66% |
| Scientists | 13 | 26% |
| Practitioners (doctors, other healthcare professionals) | 4 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 109 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 17% |
| Researcher | 17 | 16% |
| Student > Bachelor | 7 | 6% |
| Lecturer | 6 | 6% |
| Professor > Associate Professor | 6 | 6% |
| Other | 24 | 22% |
| Unknown | 30 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 18% |
| Economics, Econometrics and Finance | 12 | 11% |
| Nursing and Health Professions | 11 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 5% |
| Psychology | 3 | 3% |
| Other | 15 | 14% |
| Unknown | 43 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 42. 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 20 September 2021.
All research outputs
#1,006,023
of 26,017,215 outputs
Outputs from Medical Decision Making
#42
of 1,493 outputs
Outputs of similar age
#21,346
of 354,583 outputs
Outputs of similar age from Medical Decision Making
#1
of 23 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,493 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one has done particularly well, scoring higher than 97% 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 354,583 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.