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Reporting heterogeneity in self-assessed health among elderly Europeans

Overview of attention for article published in Health Economics Review, October 2012
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Title
Reporting heterogeneity in self-assessed health among elderly Europeans
Published in
Health Economics Review, October 2012
DOI 10.1186/2191-1991-2-21
Pubmed ID
Authors

Christian Pfarr, Andreas Schmid, Udo Schneider

Abstract

Self-assessed health (SAH) is a frequently used measure of individuals' health status. It is also prone to reporting heterogeneity. To control for reporting heterogeneity objective measures of true health need to be included in an analysis. The topic becomes even more complex for cross-country comparisons, as many key variables tend to vary strongly across countries, influenced by cultural and institutional differences. This study aims at exploring the key drivers for reporting heterogeneity in SAH in an international context. To this end, country specific effects are accounted for and the objective health measure is concretized, distinguishing effects of mental and physical health conditions.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Spain 1 3%
Portugal 1 3%
Unknown 37 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 28%
Researcher 6 15%
Student > Doctoral Student 5 13%
Student > Master 3 8%
Student > Bachelor 2 5%
Other 6 15%
Unknown 7 18%
Readers by discipline Count As %
Economics, Econometrics and Finance 11 28%
Medicine and Dentistry 11 28%
Social Sciences 4 10%
Psychology 1 3%
Nursing and Health Professions 1 3%
Other 2 5%
Unknown 10 25%
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 05 October 2012.
All research outputs
#20,167,959
of 22,679,690 outputs
Outputs from Health Economics Review
#400
of 421 outputs
Outputs of similar age
#153,464
of 172,607 outputs
Outputs of similar age from Health Economics Review
#5
of 5 outputs
Altmetric has tracked 22,679,690 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 421 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one is in the 1st percentile – i.e., 1% 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 172,607 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.