| Title |
Transparency in Health Economic Modeling: Options, Issues and Potential Solutions
|
|---|---|
| Published in |
PharmacoEconomics, October 2019
|
| DOI | 10.1007/s40273-019-00842-0 |
| Pubmed ID | |
| Authors |
Eric Q. Wu, Zheng-Yi Zhou, Jipan Xie, Cinzia Metallo, Praveen Thokala |
X Demographics
The data shown below were collected from the profiles of 19 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 | 5 | 26% |
| Australia | 2 | 11% |
| India | 2 | 11% |
| New Zealand | 2 | 11% |
| Canada | 1 | 5% |
| France | 1 | 5% |
| Switzerland | 1 | 5% |
| Malaysia | 1 | 5% |
| Chile | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 2 | 11% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 53% |
| Scientists | 5 | 26% |
| Practitioners (doctors, other healthcare professionals) | 3 | 16% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 18% |
| Researcher | 4 | 18% |
| Student > Bachelor | 2 | 9% |
| Student > Doctoral Student | 2 | 9% |
| Student > Master | 2 | 9% |
| Other | 1 | 5% |
| Unknown | 7 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 2 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 9% |
| Nursing and Health Professions | 2 | 9% |
| Medicine and Dentistry | 2 | 9% |
| Decision Sciences | 2 | 9% |
| Other | 4 | 18% |
| Unknown | 8 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 October 2019.
All research outputs
#1,836,615
of 24,144,324 outputs
Outputs from PharmacoEconomics
#119
of 1,943 outputs
Outputs of similar age
#40,100
of 356,152 outputs
Outputs of similar age from PharmacoEconomics
#5
of 29 outputs
Altmetric has tracked 24,144,324 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,943 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done particularly well, scoring higher than 93% 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 356,152 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 88% of its contemporaries.
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 has done well, scoring higher than 86% of its contemporaries.