| Title |
An iron triangle ROI model for health care
|
|---|---|
| Published in |
ClinicoEconomics and Outcomes Research: CEOR, May 2019
|
| DOI | 10.2147/ceor.s130623 |
| Pubmed ID | |
| Authors |
David N van der Goes, Nicholas Edwardson, Veeshan Rayamajhee, Christine Hollis, Dawn Hunter |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Comoros | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 55 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 16% |
| Student > Bachelor | 6 | 11% |
| Other | 5 | 9% |
| Student > Ph. D. Student | 4 | 7% |
| Student > Doctoral Student | 3 | 5% |
| Other | 9 | 16% |
| Unknown | 19 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 15% |
| Nursing and Health Professions | 7 | 13% |
| Biochemistry, Genetics and Molecular Biology | 4 | 7% |
| Business, Management and Accounting | 3 | 5% |
| Economics, Econometrics and Finance | 3 | 5% |
| Other | 7 | 13% |
| Unknown | 23 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 06 June 2019.
All research outputs
#16,108,994
of 25,462,162 outputs
Outputs from ClinicoEconomics and Outcomes Research: CEOR
#301
of 525 outputs
Outputs of similar age
#208,071
of 363,620 outputs
Outputs of similar age from ClinicoEconomics and Outcomes Research: CEOR
#2
of 3 outputs
Altmetric has tracked 25,462,162 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 525 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.0. This one is in the 40th percentile – i.e., 40% 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 363,620 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.