| Title |
Targeted versus universal prevention. a resource allocation model to prioritize cardiovascular prevention
|
|---|---|
| Published in |
Cost Effectiveness and Resource Allocation, October 2011
|
| DOI | 10.1186/1478-7547-9-14 |
| Pubmed ID | |
| Authors |
Talitha L Feenstra, Pieter M van Baal, Monique AM Jacobs-van der Bruggen, Rudolf T Hoogenveen, Geert-Jan Kommer, Caroline A Baan |
| Abstract |
Diabetes mellitus brings an increased risk for cardiovascular complications and patients profit from prevention. This prevention also suits the general population. The question arises what is a better strategy: target the general population or diabetes patients. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 3% |
| Chile | 1 | 3% |
| Unknown | 34 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 22% |
| Researcher | 5 | 14% |
| Student > Doctoral Student | 3 | 8% |
| Student > Bachelor | 3 | 8% |
| Student > Ph. D. Student | 3 | 8% |
| Other | 6 | 17% |
| Unknown | 8 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 22% |
| Economics, Econometrics and Finance | 6 | 17% |
| Nursing and Health Professions | 5 | 14% |
| Social Sciences | 5 | 14% |
| Psychology | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 9 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 02 January 2021.
All research outputs
#2,485,391
of 25,373,627 outputs
Outputs from Cost Effectiveness and Resource Allocation
#45
of 533 outputs
Outputs of similar age
#12,595
of 145,917 outputs
Outputs of similar age from Cost Effectiveness and Resource Allocation
#1
of 2 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 533 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one has done particularly well, scoring higher than 91% 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 145,917 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 91% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them