You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Health State Valuation in Low- and Middle-Income Countries: A Systematic Review of the Literature
|
|---|---|
| Published in |
Value in Health (Elsevier Science), July 2013
|
| DOI | 10.1016/j.jval.2013.05.006 |
| Pubmed ID | |
| Authors |
Sanjeewa Kularatna, Jennifer A. Whitty, Newell W. Johnson, Paul A. Scuffham |
| Abstract |
Cost-utility analysis is widely used in high-income countries to inform decisions on efficient health care resource allocation. Cost-utility analysis uses the quality-adjusted life-year as the outcome measure of health. High-income countries have undertaken health state valuation (HSV) studies to determine country-specific utility weights to facilitate valuation of health-related quality of life. Despite an evident need, however, the extent of HSVs in low- and middle-income countries (LMICs) is unclear. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| Unknown | 96 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 18 | 19% |
| Student > Ph. D. Student | 15 | 15% |
| Researcher | 14 | 14% |
| Other | 6 | 6% |
| Student > Postgraduate | 6 | 6% |
| Other | 21 | 22% |
| Unknown | 17 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 32 | 33% |
| Economics, Econometrics and Finance | 9 | 9% |
| Social Sciences | 9 | 9% |
| Nursing and Health Professions | 5 | 5% |
| Business, Management and Accounting | 5 | 5% |
| Other | 13 | 13% |
| Unknown | 24 | 25% |
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 December 2017.
All research outputs
#17,285,668
of 25,374,647 outputs
Outputs from Value in Health (Elsevier Science)
#2,612
of 4,140 outputs
Outputs of similar age
#130,332
of 206,371 outputs
Outputs of similar age from Value in Health (Elsevier Science)
#14
of 41 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,140 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one is in the 32nd percentile – i.e., 32% 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 206,371 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 41 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 63% of its contemporaries.