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Profiling the different needs and expectations of patients for population-based medicine: a case study using segmentation analysis

Overview of attention for article published in BMC Health Services Research, December 2012
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1 X user

Citations

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Title
Profiling the different needs and expectations of patients for population-based medicine: a case study using segmentation analysis
Published in
BMC Health Services Research, December 2012
DOI 10.1186/1472-6963-12-473
Pubmed ID
Authors

Federico Lega, Alessandro Mengoni

Abstract

This study illustrates an evidence-based method for the segmentation analysis of patients that could greatly improve the approach to population-based medicine, by filling a gap in the empirical analysis of this topic. Segmentation facilitates individual patient care in the context of the culture, health status, and the health needs of the entire population to which that patient belongs. Because many health systems are engaged in developing better chronic care management initiatives, patient profiles are critical to understanding whether some patients can move toward effective self-management and can play a central role in determining their own care, which fosters a sense of responsibility for their own health. A review of the literature on patient segmentation provided the background for this research.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 3%
United States 1 3%
Turkey 1 3%
Unknown 29 91%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 6 19%
Student > Ph. D. Student 4 13%
Student > Master 4 13%
Other 3 9%
Researcher 3 9%
Other 5 16%
Unknown 7 22%
Readers by discipline Count As %
Medicine and Dentistry 7 22%
Social Sciences 6 19%
Business, Management and Accounting 5 16%
Computer Science 1 3%
Physics and Astronomy 1 3%
Other 3 9%
Unknown 9 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 15 June 2013.
All research outputs
#19,518,759
of 24,010,679 outputs
Outputs from BMC Health Services Research
#6,896
of 8,080 outputs
Outputs of similar age
#225,312
of 287,364 outputs
Outputs of similar age from BMC Health Services Research
#110
of 124 outputs
Altmetric has tracked 24,010,679 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,080 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one is in the 6th percentile – i.e., 6% of its peers scored the same or lower than it.
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