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Characteristics of patients misdiagnosed with Alzheimer’s disease and their medication use: an analysis of the NACC-UDS database

Overview of attention for article published in BMC Geriatrics, December 2013
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Citations

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Title
Characteristics of patients misdiagnosed with Alzheimer’s disease and their medication use: an analysis of the NACC-UDS database
Published in
BMC Geriatrics, December 2013
DOI 10.1186/1471-2318-13-137
Pubmed ID
Authors

Joseph E Gaugler, Haya Ascher-Svanum, David L Roth, Tolulope Fafowora, Andrew Siderowf, Thomas G Beach

Abstract

This study compared individuals whose clinical diagnosis of Alzheimer's disease (AD) matched or did not match neuropathologic results at autopsy on clinical and functional outcomes (cognitive impairment, functional status and neuropsychiatric symptoms). The study also assessed the extent of potentially inappropriate medication use (using potentially unnecessary medications or potentially inappropriate prescribing) among misdiagnosed patients.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Finland 1 <1%
Netherlands 1 <1%
Unknown 123 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 17%
Researcher 19 15%
Student > Master 17 13%
Student > Bachelor 13 10%
Other 7 6%
Other 20 16%
Unknown 29 23%
Readers by discipline Count As %
Medicine and Dentistry 27 21%
Psychology 14 11%
Neuroscience 12 9%
Agricultural and Biological Sciences 9 7%
Biochemistry, Genetics and Molecular Biology 6 5%
Other 22 17%
Unknown 37 29%
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 14 January 2014.
All research outputs
#18,359,382
of 22,738,543 outputs
Outputs from BMC Geriatrics
#2,616
of 3,159 outputs
Outputs of similar age
#230,730
of 306,140 outputs
Outputs of similar age from BMC Geriatrics
#18
of 22 outputs
Altmetric has tracked 22,738,543 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,159 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one is in the 10th percentile – i.e., 10% 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 306,140 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.