↓ Skip to main content

Dove Medical Press

Article Metrics

Assistive technologies for managing language disorders in dementia

Overview of attention for article published in Neuropsychiatric Disease and Treatment, February 2016
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
1 news outlet
twitter
10 tweeters
facebook
2 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
85 Mendeley
Title
Assistive technologies for managing language disorders in dementia
Published in
Neuropsychiatric Disease and Treatment, February 2016
DOI 10.2147/ndt.s95903
Pubmed ID
Authors

Kamil Kuca, Blanka Klimova, Petra Maresova

Abstract

At present, the number of elderly people is rapidly increasing, which represents a significant threat in terms of their care when they fall ill. One of the most common aging diseases nowadays is dementia, whose symptoms sooner or later include loss of cognitive functioning. Cognitive disorders can vary from serious mental retardation to inability to recall things, to the loss or disorder of specific cognitive functions such as communication. These disorders not only affect the quality of people's own life but also impose a substantial burden on their families, particularly on their caregivers. Therefore, the aim of this article is to highlight the role of assistive technologies (ATs) for managing language impairments in dementia in order to improve patients' quality of life. In addition, ATs focused on training patients' memory are also mentioned, since they can help patients to maintain their language skills. Furthermore, these ATs can delay the need for institutional care, as well as significantly reduce costs on patient care. The importance of future research in the area of the development of ATs for managing the language impairments in dementia is also discussed. There is a general trend toward the personalization of patient needs and requirements in the area of ATs. For the purpose of this article, a method of literature review of available sources defining language disorders and providing characteristic features of language disorders in dementia is used. In addition, a method of comparison of different research studies exploring ATs focused on delaying language disorders in dementia in order to postpone patients' need for institutional care is also exploited.

Twitter Demographics

The data shown below were collected from the profiles of 10 tweeters 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 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Colombia 1 1%
Unknown 83 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 14 16%
Student > Ph. D. Student 14 16%
Student > Master 10 12%
Researcher 9 11%
Student > Doctoral Student 7 8%
Other 14 16%
Unknown 17 20%
Readers by discipline Count As %
Psychology 15 18%
Nursing and Health Professions 15 18%
Medicine and Dentistry 9 11%
Computer Science 8 9%
Social Sciences 5 6%
Other 15 18%
Unknown 18 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 22 August 2016.
All research outputs
#1,059,584
of 14,533,317 outputs
Outputs from Neuropsychiatric Disease and Treatment
#135
of 2,427 outputs
Outputs of similar age
#26,768
of 268,123 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#9
of 80 outputs
Altmetric has tracked 14,533,317 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,427 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done particularly well, scoring higher than 94% 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 268,123 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 89% of its contemporaries.
We're also able to compare this research output to 80 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.