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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Changes in costs and effects after the implementation of disease management programs in the Netherlands: variability and determinants
|
|---|---|
| Published in |
Cost Effectiveness and Resource Allocation, July 2014
|
| DOI | 10.1186/1478-7547-12-17 |
| Pubmed ID | |
| Authors |
Apostolos Tsiachristas, Jane Murray Cramm, Anna P Nieboer, Maureen PMH Rutten-van Mölken |
| Abstract |
The aim of the study was to investigate the changes in costs and outcomes after the implementation of various disease management programs (DMPs), to identify their potential determinants, and to compare the costs and outcomes of different DMPs. |
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 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| Spain | 1 | 1% |
| Unknown | 84 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 19% |
| Researcher | 12 | 14% |
| Student > Ph. D. Student | 12 | 14% |
| Student > Bachelor | 7 | 8% |
| Other | 4 | 5% |
| Other | 13 | 15% |
| Unknown | 22 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 21% |
| Nursing and Health Professions | 17 | 20% |
| Psychology | 5 | 6% |
| Social Sciences | 5 | 6% |
| Economics, Econometrics and Finance | 4 | 5% |
| Other | 10 | 12% |
| Unknown | 27 | 31% |
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 28 July 2014.
All research outputs
#20,655,488
of 25,373,627 outputs
Outputs from Cost Effectiveness and Resource Allocation
#421
of 533 outputs
Outputs of similar age
#175,197
of 239,924 outputs
Outputs of similar age from Cost Effectiveness and Resource Allocation
#6
of 6 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
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 is in the 5th percentile – i.e., 5% 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 239,924 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.