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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Translating policy into practice: a case study in the secondary prevention of coronary heart disease
|
|---|---|
| Published in |
Health Expectations, December 2011
|
| DOI | 10.1111/j.1369-7625.2011.00754.x |
| Pubmed ID | |
| Authors |
Lindsay Prior, Joanne Wilson, Michael Donnelly, Andrew W. Murphy, Susan M. Smith, Mary Byrne, Molly Byrne, Margaret E. Cupples |
| Abstract |
This paper focuses on the relationships between health 'policy' as it is embodied in official documentation, and health 'practice' as reported and reflected on in the talk of policy-makers, health professionals and patients. The specific context for the study involves a comparison of policies relating to the secondary prevention of coronary heart disease (CHD) in the two jurisdictions of Ireland - involving as they do a predominantly state funded (National Health Service) system in the north and a mixed health-care economy in the south. The key question is to determine how the detail of health policy as contained in policy documents connects to and gets translated into practice and action. |
X Demographics
The data shown below were collected from the profiles of 3 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 Kingdom | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| New Zealand | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 48 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 22% |
| Student > Master | 5 | 10% |
| Student > Doctoral Student | 5 | 10% |
| Student > Bachelor | 4 | 8% |
| Professor | 4 | 8% |
| Other | 12 | 24% |
| Unknown | 9 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 20% |
| Nursing and Health Professions | 7 | 14% |
| Social Sciences | 5 | 10% |
| Psychology | 4 | 8% |
| Computer Science | 2 | 4% |
| Other | 10 | 20% |
| Unknown | 12 | 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 30 April 2014.
All research outputs
#14,020,025
of 24,549,201 outputs
Outputs from Health Expectations
#1,124
of 1,628 outputs
Outputs of similar age
#153,480
of 251,333 outputs
Outputs of similar age from Health Expectations
#3
of 14 outputs
Altmetric has tracked 24,549,201 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,628 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one is in the 30th percentile – i.e., 30% 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 251,333 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.