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Non response, incomplete and inconsistent responses to self-administered health-related quality of life measures in the general population: patterns, determinants and impact on the validity of…

Overview of attention for article published in Health and Quality of Life Outcomes, March 2013
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3 X users

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72 Mendeley
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Title
Non response, incomplete and inconsistent responses to self-administered health-related quality of life measures in the general population: patterns, determinants and impact on the validity of estimates — a population-based study in France using the MOS SF-36
Published in
Health and Quality of Life Outcomes, March 2013
DOI 10.1186/1477-7525-11-44
Pubmed ID
Authors

Joel Coste, Laurent Quinquis, Etienne Audureau, Jacques Pouchot

Abstract

Health-related quality of life (HRQoL) measures are increasingly used in the general population. However, little is known about patterns and determinants of unanswered or unusable questionnaires and their consequences on estimates of HRQoL.

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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 1%
Brazil 1 1%
Unknown 70 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 17%
Researcher 11 15%
Student > Doctoral Student 7 10%
Professor > Associate Professor 5 7%
Student > Bachelor 5 7%
Other 15 21%
Unknown 17 24%
Readers by discipline Count As %
Medicine and Dentistry 19 26%
Social Sciences 5 7%
Business, Management and Accounting 4 6%
Agricultural and Biological Sciences 4 6%
Mathematics 4 6%
Other 13 18%
Unknown 23 32%
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 14 March 2013.
All research outputs
#16,048,009
of 25,374,647 outputs
Outputs from Health and Quality of Life Outcomes
#1,279
of 2,297 outputs
Outputs of similar age
#123,542
of 208,878 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#22
of 45 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,297 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 40th percentile – i.e., 40% 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 208,878 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.