| Title |
Systematic Literature Review and Critical Appraisal of Health Economic Models Used in Cost-Effectiveness Analyses in Non-Alcoholic Steatohepatitis: Potential for Improvements
|
|---|---|
| Published in |
PharmacoEconomics, January 2020
|
| DOI | 10.1007/s40273-019-00881-7 |
| Pubmed ID | |
| Authors |
Pierre Johansen, Daniel Howard, Ryan Bishop, Søren Ilsøe Moreno, Kristine Buchholtz |
X Demographics
The data shown below were collected from the profiles of 11 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 | 45% |
| Spain | 2 | 18% |
| Korea, Republic of | 1 | 9% |
| New Zealand | 1 | 9% |
| Unknown | 2 | 18% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 45% |
| Scientists | 3 | 27% |
| Science communicators (journalists, bloggers, editors) | 2 | 18% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 57 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 16% |
| Researcher | 6 | 11% |
| Student > Bachelor | 6 | 11% |
| Student > Postgraduate | 4 | 7% |
| Student > Doctoral Student | 4 | 7% |
| Other | 10 | 18% |
| Unknown | 18 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 25% |
| Nursing and Health Professions | 5 | 9% |
| Economics, Econometrics and Finance | 5 | 9% |
| Biochemistry, Genetics and Molecular Biology | 4 | 7% |
| Business, Management and Accounting | 1 | 2% |
| Other | 7 | 12% |
| Unknown | 21 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 February 2020.
All research outputs
#4,805,202
of 23,573,233 outputs
Outputs from PharmacoEconomics
#512
of 1,880 outputs
Outputs of similar age
#111,275
of 458,577 outputs
Outputs of similar age from PharmacoEconomics
#12
of 24 outputs
Altmetric has tracked 23,573,233 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,880 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has gotten more attention than average, scoring higher than 72% 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 458,577 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 75% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.