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Computer-Based Training Programs for Older People with Mild Cognitive Impairment and/or Dementia

Overview of attention for article published in Frontiers in Human Neuroscience, May 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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1 news outlet
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7 X users

Citations

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50 Dimensions

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128 Mendeley
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Title
Computer-Based Training Programs for Older People with Mild Cognitive Impairment and/or Dementia
Published in
Frontiers in Human Neuroscience, May 2017
DOI 10.3389/fnhum.2017.00262
Pubmed ID
Authors

Blanka Klimova, Petra Maresova

Abstract

Currently, due to the demographic trends, the number of aging population groups is dramatically rising, especially in developed countries. This trend causes serious economic and social issues, but also an increase of aging disorders such as mild cognitive impairment (MCI) or dementia in older population groups. MCI and dementia are connected with deterioration of cognitive functions. The aim of this mini review article is therefore to explore whether computer-based training programs might be an effective intervention tool for older people with MCI and/or dementia or not. The methods include a literature search in the world's acknowledged databases: Web of Science, Scopus, Science Direct, MEDLINE and Springer, and consequently, evaluation of the findings of the relevant studies. The findings from the selected studies are quite neutral with respect to the efficacy of the computer assisted intervention programs on the improvement of basic cognitive functions. On the one hand, they suggest that the computer-based training interventions might generate some positive effects on patients with MCI and/or dementia, such as the improvement of learning and short-term memory, as well as behavioral symptoms. On the other hand, these training interventions seem to be short-term, with small sample sizes and their efficacy was proved only in the half of the detected studies. Therefore more longitudinal randomized controlled trials (RCTs) are needed to prove the efficacy of the computer-based training programs among older individuals with MCI and/or dementia.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 128 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 18 14%
Researcher 16 13%
Student > Doctoral Student 12 9%
Student > Ph. D. Student 10 8%
Student > Master 8 6%
Other 25 20%
Unknown 39 30%
Readers by discipline Count As %
Psychology 24 19%
Nursing and Health Professions 15 12%
Medicine and Dentistry 12 9%
Neuroscience 8 6%
Social Sciences 6 5%
Other 17 13%
Unknown 46 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 June 2017.
All research outputs
#2,850,774
of 25,738,558 outputs
Outputs from Frontiers in Human Neuroscience
#1,332
of 7,753 outputs
Outputs of similar age
#50,309
of 326,171 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#40
of 193 outputs
Altmetric has tracked 25,738,558 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,753 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done well, scoring higher than 82% of its peers.
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 326,171 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 193 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.