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 |
Priority setting in health: development and application of a multi-criteria algorithm for the population of New Zealand’s Waikato region
|
|---|---|
| Published in |
Cost Effectiveness and Resource Allocation, November 2018
|
| DOI | 10.1186/s12962-018-0121-z |
| Pubmed ID | |
| Authors |
Rashmi Dayalu, Elizabeth T. Cafiero-Fonseca, Victoria Y. Fan, Heather Schofield, David E. Bloom |
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 % |
|---|---|---|
| United States | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 74 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 15% |
| Researcher | 8 | 11% |
| Student > Ph. D. Student | 6 | 8% |
| Other | 4 | 5% |
| Student > Postgraduate | 4 | 5% |
| Other | 10 | 14% |
| Unknown | 31 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 9 | 12% |
| Nursing and Health Professions | 6 | 8% |
| Medicine and Dentistry | 6 | 8% |
| Computer Science | 3 | 4% |
| Psychology | 3 | 4% |
| Other | 14 | 19% |
| Unknown | 33 | 45% |
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 22 November 2018.
All research outputs
#15,552,610
of 23,114,117 outputs
Outputs from Cost Effectiveness and Resource Allocation
#310
of 431 outputs
Outputs of similar age
#219,449
of 350,235 outputs
Outputs of similar age from Cost Effectiveness and Resource Allocation
#25
of 26 outputs
Altmetric has tracked 23,114,117 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 431 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one is in the 21st percentile – i.e., 21% 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 350,235 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.