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The Melbourne East Monash General Practice Database (MAGNET): Using data from computerised medical records to create a platform for primary care and health services research.

Overview of attention for article published in BMJ Health & Care Informatics, July 2016
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Title
The Melbourne East Monash General Practice Database (MAGNET): Using data from computerised medical records to create a platform for primary care and health services research.
Published in
BMJ Health & Care Informatics, July 2016
DOI 10.14236/jhi.v23i2.181
Pubmed ID
Authors

Danielle Mazza, Christopher Pearce, Lyle Robert Turner, Maria De Leon-Santiago, Adam McLeod, Jason Ferriggi, Marianne Shearer

Abstract

The Melbourne East MonAsh GeNeral PracticE DaTabase (MAGNET) research platform was launched in 2013 to provide a unique data source for primary care and health services research in Australia.  MAGNET contains information from the computerised records of 50 participating general practices and includes data from the computerised medical records of more than 1,100,000 patients.  The data extracted is patient-level episodic information and includes a variety of fields related to patient demographics and historical clinical information, along with the characteristics of the participating general practices.  While there are limitations to the data that is currently available, the MAGNET research platform continues to investigate other avenues for improving the breadth and quality of data, with the aim of providing a more comprehensive picture of primary care in Australia.

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X Demographics

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 17%
Other 1 17%
Student > Master 1 17%
Unknown 3 50%
Readers by discipline Count As %
Medicine and Dentistry 2 33%
Computer Science 1 17%
Unknown 3 50%
Attention Score in Context

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 13 July 2016.
All research outputs
#16,011,295
of 26,106,397 outputs
Outputs from BMJ Health & Care Informatics
#332
of 506 outputs
Outputs of similar age
#213,024
of 372,672 outputs
Outputs of similar age from BMJ Health & Care Informatics
#6
of 7 outputs
Altmetric has tracked 26,106,397 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 506 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one is in the 32nd percentile – i.e., 32% 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 372,672 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.