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Item response theory analysis of cognitive tests in people with dementia: a systematic review

Overview of attention for article published in BMC Psychiatry, February 2014
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4 X users

Citations

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23 Dimensions

Readers on

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88 Mendeley
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1 CiteULike
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Title
Item response theory analysis of cognitive tests in people with dementia: a systematic review
Published in
BMC Psychiatry, February 2014
DOI 10.1186/1471-244x-14-47
Pubmed ID
Authors

Sarah McGrory, Jason M Doherty, Elizabeth J Austin, John M Starr, Susan D Shenkin

Abstract

Performance on psychometric tests is key to diagnosis and monitoring treatment of dementia. Results are often reported as a total score, but there is additional information in individual items of tests which vary in their difficulty and discriminatory value. Item difficulty refers to an ability level at which the probability of responding correctly is 50%. Discrimination is an index of how well an item can differentiate between patients of varying levels of severity. Item response theory (IRT) analysis can use this information to examine and refine measures of cognitive functioning. This systematic review aimed to identify all published literature which had applied IRT to instruments assessing global cognitive function in people with dementia.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 1%
Unknown 87 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 14%
Researcher 12 14%
Student > Master 12 14%
Student > Postgraduate 10 11%
Student > Doctoral Student 8 9%
Other 13 15%
Unknown 21 24%
Readers by discipline Count As %
Psychology 23 26%
Medicine and Dentistry 14 16%
Social Sciences 7 8%
Agricultural and Biological Sciences 5 6%
Computer Science 2 2%
Other 13 15%
Unknown 24 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 10 March 2014.
All research outputs
#13,859,387
of 23,881,329 outputs
Outputs from BMC Psychiatry
#2,924
of 4,939 outputs
Outputs of similar age
#113,262
of 226,821 outputs
Outputs of similar age from BMC Psychiatry
#53
of 80 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,939 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.9. This one is in the 39th percentile – i.e., 39% 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 226,821 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
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 is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.