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Mendeley readers
Attention Score in Context
Title |
Implementing computerised Aboriginal and Torres Strait Islander health checks in primary care for clinical care and research: a process evaluation
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Published in |
BMC Medical Informatics and Decision Making, September 2013
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DOI | 10.1186/1472-6947-13-108 |
Pubmed ID | |
Authors |
Geoffrey KP Spurling, Deborah A Askew, Philip J Schluter, Noel E Hayman |
Abstract |
Paper-based Aboriginal and Torres Strait Islander health checks have promoted a preventive approach to primary care and provided data to support research at the Inala Indigenous Health Service, south-west Brisbane, Australia. Concerns about the limitations of paper-based health checks prompted us to change to a computerised system to realise potential benefits for clinical services and research capability. We describe the rationale, implementation and anticipated benefits of computerised Aboriginal and Torres Strait Islander health checks in one primary health care setting. |
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 % |
---|---|---|
India | 1 | 33% |
Australia | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Members of the public | 1 | 33% |
Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 2% |
Australia | 1 | 2% |
Unknown | 52 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 13% |
Student > Bachelor | 7 | 13% |
Student > Ph. D. Student | 6 | 11% |
Student > Master | 6 | 11% |
Student > Postgraduate | 5 | 9% |
Other | 11 | 20% |
Unknown | 12 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 12 | 22% |
Nursing and Health Professions | 9 | 17% |
Social Sciences | 6 | 11% |
Biochemistry, Genetics and Molecular Biology | 2 | 4% |
Engineering | 2 | 4% |
Other | 7 | 13% |
Unknown | 16 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 12 November 2013.
All research outputs
#13,392,121
of 22,725,280 outputs
Outputs from BMC Medical Informatics and Decision Making
#981
of 1,982 outputs
Outputs of similar age
#105,858
of 202,143 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#18
of 39 outputs
Altmetric has tracked 22,725,280 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,982 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 47th percentile – i.e., 47% 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 202,143 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.