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On the utility of within-participant research design when working with patients with neurocognitive disorders

Overview of attention for article published in Clinical Interventions in Aging, January 2015
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1 tweeter

Citations

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Readers on

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26 Mendeley
Title
On the utility of within-participant research design when working with patients with neurocognitive disorders
Published in
Clinical Interventions in Aging, January 2015
DOI 10.2147/cia.s81868
Pubmed ID
Authors

Hanna Steingrimsdottir, Erik Arntzen

Abstract

Within-participant research designs are frequently used within the field of behavior analysis to document changes in behavior before, during, and after treatment. The purpose of the present article is to show the utility of within-participant research designs when working with older adults with neurocognitive disorders. The reason for advocating for these types of experimental designs is that they provide valid information about whether the changes that are observed in the dependent variable are caused by manipulations of the independent variable, or whether the change may be due to other variables. We provide examples from published papers where within-participant research design has been used with patients with neurocognitive disorders. The examples vary somewhat, demonstrating possible applications. It is our suggestion that the within-participant research design may be used more often with the targeted client group than is documented in the literature at the current date.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 4%
France 1 4%
Italy 1 4%
Unknown 23 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 31%
Student > Postgraduate 3 12%
Student > Bachelor 3 12%
Student > Master 2 8%
Professor 1 4%
Other 3 12%
Unknown 6 23%
Readers by discipline Count As %
Medicine and Dentistry 7 27%
Psychology 5 19%
Nursing and Health Professions 2 8%
Computer Science 1 4%
Business, Management and Accounting 1 4%
Other 3 12%
Unknown 7 27%

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 24 July 2015.
All research outputs
#3,796,914
of 5,395,569 outputs
Outputs from Clinical Interventions in Aging
#606
of 784 outputs
Outputs of similar age
#131,288
of 189,161 outputs
Outputs of similar age from Clinical Interventions in Aging
#51
of 66 outputs
Altmetric has tracked 5,395,569 research outputs across all sources so far. This one is in the 16th percentile – i.e., 16% of other outputs scored the same or lower than it.
So far Altmetric has tracked 784 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 8th percentile – i.e., 8% 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 189,161 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.