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Diversity of approaches in assessment of executive functions in stroke: Limited evidence?

Overview of attention for article published in eNeurologicalSci, August 2015
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Article details
Title
Diversity of approaches in assessment of executive functions in stroke: Limited evidence?
Published in
eNeurologicalSci, August 2015
DOI 10.1016/j.ensci.2015.08.002
Pubmed ID
Authors
Abstract

Stroke is a leading cause of disability worldwide. Cognitive functions and, in particular, executive function, are commonly affected after stroke, leading to impairments in performance of daily activities, decrease in social participation and in quality of life. Appropriate assessment and understanding of executive dysfunction are important, firstly to develop better rehabilitation strategies for executive functions per se and secondly to consider executive function abilities on rehabilitation strategies in general. The purpose of this review was to identify the most widely used assessment tools of executive dysfunction for patients with stroke, and their psychometric properties. We systematically reviewed manuscripts published in English in databases from 1999 to 2015. We identified 35 publications. The most frequently used instruments were the Stroop, Digit Span and Trail making tests. Psychometric properties were described for the Executive Function Performance Test, Executive Clock Drawing Task, Chinese Frontal Assessment Battery and Virtual Action Planning - Supermarket, and two subtests of the Cambridge Cognitive Examination - Revised. There is a paucity of tools to reliably measure executive dysfunction after stroke, despite the fact that executive dysfunction is frequent. Identification of the best tools for executive dysfunction assessment is necessary to address important gaps in research and in clinical practice.

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The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 118 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 23 19%
Student > Bachelor 14 12%
Student > Ph. D. Student 14 12%
Researcher 9 8%
Professor 6 5%
Other 16 14%
Unknown 36 31%
Readers by discipline
Readers by discipline Count As %
Psychology 25 21%
Nursing and Health Professions 19 16%
Neuroscience 12 10%
Medicine and Dentistry 12 10%
Agricultural and Biological Sciences 4 3%
Other 10 8%
Unknown 36 31%
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 02 December 2015.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from eNeurologicalSci
#184
of 212 outputs
Outputs of similar age
#238,041
of 277,791 outputs
Outputs of similar age from eNeurologicalSci
#2
of 2 outputs
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So far Altmetric has tracked 212 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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