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Mendeley readers
Attention Score in Context
Title |
Developing a dashboard to help measure and achieve the triple aim: a population-based cohort study
|
---|---|
Published in |
BMC Health Services Research, August 2014
|
DOI | 10.1186/1472-6963-14-363 |
Pubmed ID | |
Authors |
Hsien-Yeang Seow, Lyn M Sibley |
Abstract |
Health system planners aim to pursue the three goals of Triple Aim: 1) reduce health care costs; 2) improve population health; and 3) improve the care experience. Moreover, they also need measures that can reliably predict future health care needs in order to manage effectively the health system performance. Yet few measures exist to assess Triple Aim and predict future needs at a health system level. The purpose of this study is to explore the novel application of a case-mix adjustment method in order to measure and help improve the Triple Aim of health system performance. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 2 | 50% |
United States | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 1% |
Unknown | 93 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 17 | 18% |
Researcher | 13 | 14% |
Student > Ph. D. Student | 12 | 13% |
Student > Doctoral Student | 9 | 10% |
Other | 6 | 6% |
Other | 15 | 16% |
Unknown | 22 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 31 | 33% |
Nursing and Health Professions | 9 | 10% |
Computer Science | 7 | 7% |
Economics, Econometrics and Finance | 6 | 6% |
Business, Management and Accounting | 6 | 6% |
Other | 12 | 13% |
Unknown | 23 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 16 September 2014.
All research outputs
#13,676,248
of 23,314,015 outputs
Outputs from BMC Health Services Research
#4,692
of 7,804 outputs
Outputs of similar age
#112,577
of 237,270 outputs
Outputs of similar age from BMC Health Services Research
#78
of 120 outputs
Altmetric has tracked 23,314,015 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,804 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one is in the 39th percentile – i.e., 39% 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 237,270 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 120 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.