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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Developing a good practice model to evaluate the effectiveness of comprehensive primary health care in local communities
|
|---|---|
| Published in |
BMC Primary Care, May 2014
|
| DOI | 10.1186/1471-2296-15-99 |
| Pubmed ID | |
| Authors |
Angela Lawless, Toby Freeman, Michael Bentley, Fran Baum, Gwyn Jolley |
| Abstract |
This paper describes the development of a model of Comprehensive Primary Health Care (CPHC) applicable to the Australian context. CPHC holds promise as an effective model of health system organization able to improve population health and increase health equity. However, there is little literature that describes and evaluates CPHC as a whole, with most evaluation focusing on specific programs. The lack of a consensus on what constitutes CPHC, and the complex and context-sensitive nature of CPHC are all barriers to evaluation. |
X Demographics
The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 13% |
| Canada | 2 | 13% |
| Chile | 1 | 6% |
| Australia | 1 | 6% |
| United States | 1 | 6% |
| Switzerland | 1 | 6% |
| Ecuador | 1 | 6% |
| Unknown | 7 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 63% |
| Scientists | 4 | 25% |
| Practitioners (doctors, other healthcare professionals) | 2 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | <1% |
| Brazil | 1 | <1% |
| Canada | 1 | <1% |
| United States | 1 | <1% |
| Poland | 1 | <1% |
| Unknown | 144 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 28 | 19% |
| Researcher | 21 | 14% |
| Student > Ph. D. Student | 15 | 10% |
| Student > Postgraduate | 10 | 7% |
| Librarian | 6 | 4% |
| Other | 29 | 19% |
| Unknown | 40 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 32 | 21% |
| Social Sciences | 19 | 13% |
| Nursing and Health Professions | 17 | 11% |
| Unspecified | 5 | 3% |
| Business, Management and Accounting | 4 | 3% |
| Other | 26 | 17% |
| Unknown | 46 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 14 November 2023.
All research outputs
#3,099,762
of 25,374,647 outputs
Outputs from BMC Primary Care
#406
of 2,359 outputs
Outputs of similar age
#29,992
of 241,494 outputs
Outputs of similar age from BMC Primary Care
#8
of 60 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,359 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done well, scoring higher than 82% 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 241,494 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.