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Monitoring the prevalence of chronic conditions: which data should we use?

Overview of attention for article published in BMC Health Services Research, October 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

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9 X users

Citations

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48 Dimensions

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Title
Monitoring the prevalence of chronic conditions: which data should we use?
Published in
BMC Health Services Research, October 2012
DOI 10.1186/1472-6963-12-365
Pubmed ID
Authors

Juan F Orueta, Roberto Nuño-Solinis, Maider Mateos, Itziar Vergara, Gonzalo Grandes, Santiago Esnaola

Abstract

Chronic diseases are an increasing threat to people's health and to the sustainability of health organisations. Despite the need for routine monitoring systems to assess the impact of chronicity in the population and its evolution over time, currently no single source of information has been identified as suitable for this purpose. Our objective was to describe the prevalence of various chronic conditions estimated using routine data recorded by health professionals: diagnoses on hospital discharge abstracts, and primary care prescriptions and diagnoses.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 3 3%
United Kingdom 1 1%
Netherlands 1 1%
Unknown 82 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 22%
Student > Master 14 16%
Student > Ph. D. Student 11 13%
Student > Bachelor 5 6%
Professor 4 5%
Other 19 22%
Unknown 15 17%
Readers by discipline Count As %
Medicine and Dentistry 25 29%
Social Sciences 11 13%
Nursing and Health Professions 7 8%
Psychology 4 5%
Economics, Econometrics and Finance 3 3%
Other 15 17%
Unknown 22 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 16 October 2015.
All research outputs
#6,094,360
of 24,024,220 outputs
Outputs from BMC Health Services Research
#2,698
of 8,083 outputs
Outputs of similar age
#43,694
of 185,019 outputs
Outputs of similar age from BMC Health Services Research
#28
of 107 outputs
Altmetric has tracked 24,024,220 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 8,083 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has gotten more attention than average, scoring higher than 66% 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 185,019 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 76% of its contemporaries.
We're also able to compare this research output to 107 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.