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Designing a theory- and evidence-based tailored eHealth rehabilitation aftercare program in Germany and the Netherlands: study protocol

Overview of attention for article published in BMC Public Health, November 2013
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1 X user

Citations

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Title
Designing a theory- and evidence-based tailored eHealth rehabilitation aftercare program in Germany and the Netherlands: study protocol
Published in
BMC Public Health, November 2013
DOI 10.1186/1471-2458-13-1081
Pubmed ID
Authors

Dominique Reinwand, Tim Kuhlmann, Julian Wienert, Hein de Vries, Sonia Lippke

Abstract

Cardiac rehabilitation programs aim to improve health status and to decrease the risk of further cardiac events. Persons undergoing rehabilitation often have difficulties transferring the learned health behaviors into their daily routine after returning home and maybe to work. This includes physical activity as well as fruit and vegetable consumption. Computer-based tailored interventions have been shown to be effective in increasing physical activity as well as fruit and vegetable consumption. The aim of this study is, to support people in transferring these two learned behavior changes and their antecedents into their daily life after cardiac rehabilitation.

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

Geographical breakdown

Country Count As %
Australia 2 1%
Italy 1 <1%
United Kingdom 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 167 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 19%
Student > Master 25 14%
Researcher 23 13%
Student > Bachelor 19 11%
Student > Doctoral Student 14 8%
Other 26 15%
Unknown 33 19%
Readers by discipline Count As %
Medicine and Dentistry 30 17%
Psychology 30 17%
Nursing and Health Professions 30 17%
Social Sciences 15 9%
Computer Science 9 5%
Other 16 9%
Unknown 43 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 06 December 2013.
All research outputs
#18,355,685
of 22,733,113 outputs
Outputs from BMC Public Health
#12,803
of 14,808 outputs
Outputs of similar age
#227,873
of 302,105 outputs
Outputs of similar age from BMC Public Health
#226
of 259 outputs
Altmetric has tracked 22,733,113 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,808 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 6th percentile – i.e., 6% 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 302,105 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 259 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.