Title |
Diagnostic performance of a combination of Mini-Mental State Examination and Clock Drawing Test in detecting Alzheimer’s disease
|
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Published in |
Neuropsychiatric Disease and Treatment, April 2013
|
DOI | 10.2147/ndt.s42209 |
Pubmed ID | |
Authors |
Yuka Kato, Jin Narumoto, Teruyuki Matsuoka, Aiko Okamura, Hiroyuki Koumi, Yusuke Kishikawa, Shigenori Terashima, Kenji Fukui |
Abstract |
Because of the growing need for quick cognitive screening tests to distinguish Alzheimer's disease (AD) from mild cognitive impairment (MCI), we compare the diagnostic performance of a combination of the Mini-Mental State Examination (MMSE) and a Clock Drawing Test (CDT) to the Japanese version of the Alzheimer's Disease Assessment Scale-cognitive subscale (ADAS-J cog) in differentiating between patients with AD, patients with MCI, and healthy controls (HC). |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 2 | 3% |
Unknown | 62 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 14% |
Student > Bachelor | 8 | 13% |
Student > Master | 7 | 11% |
Researcher | 6 | 9% |
Student > Postgraduate | 4 | 6% |
Other | 15 | 23% |
Unknown | 15 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 17 | 27% |
Medicine and Dentistry | 16 | 25% |
Neuroscience | 4 | 6% |
Computer Science | 3 | 5% |
Agricultural and Biological Sciences | 2 | 3% |
Other | 8 | 13% |
Unknown | 14 | 22% |
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 11 May 2013.
All research outputs
#17,286,379
of 25,374,917 outputs
Outputs from Neuropsychiatric Disease and Treatment
#1,901
of 3,132 outputs
Outputs of similar age
#136,680
of 212,995 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#27
of 49 outputs
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