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The use of regional platforms for managing electronic health records for the production of regional public health indicators in France

Overview of attention for article published in BMC Medical Informatics and Decision Making, April 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

policy
1 policy source
twitter
3 X users
patent
1 patent

Citations

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20 Dimensions

Readers on

mendeley
105 Mendeley
citeulike
1 CiteULike
Title
The use of regional platforms for managing electronic health records for the production of regional public health indicators in France
Published in
BMC Medical Informatics and Decision Making, April 2012
DOI 10.1186/1472-6947-12-28
Pubmed ID
Authors

Marie-Hélène Metzger, Thierry Durand, Stéphane Lallich, Roger Salamon, Philippe Castets

Abstract

In France, recent developments in healthcare system organization have aimed at strengthening decision-making and action in public health at the regional level. Firstly, the 2004 Public Health Act, by setting 100 national and regional public health targets, introduced an evaluative approach to public health programs at the national and regional levels. Meanwhile, the implementation of regional platforms for managing electronic health records (EHRs) has also been under assessment to coordinate the deployment of this important instrument of care within each geographic area. In this context, the development and implementation of a regional approach to epidemiological data extracted from EHRs are an opportunity that must be seized as soon as possible. Our article addresses certain design and organizational aspects so that the technical requirements for such use are integrated into regional platforms in France. The article will base itself on organization of the Rhône-Alpes regional health platform.

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 3%
United States 2 2%
Spain 2 2%
Malaysia 1 <1%
Canada 1 <1%
Unknown 96 91%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 17%
Researcher 12 11%
Student > Ph. D. Student 11 10%
Student > Postgraduate 10 10%
Student > Doctoral Student 7 7%
Other 24 23%
Unknown 23 22%
Readers by discipline Count As %
Medicine and Dentistry 29 28%
Nursing and Health Professions 12 11%
Computer Science 12 11%
Social Sciences 10 10%
Engineering 4 4%
Other 13 12%
Unknown 25 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 06 May 2021.
All research outputs
#4,616,437
of 24,833,726 outputs
Outputs from BMC Medical Informatics and Decision Making
#389
of 2,116 outputs
Outputs of similar age
#28,820
of 165,600 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#6
of 32 outputs
Altmetric has tracked 24,833,726 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,116 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done well, scoring higher than 81% 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 165,600 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 82% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.