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Michigan Publishing

Brain PET in Suspected Dementia: Patterns of Altered FDG Metabolism

Overview of attention for article published in RadioGraphics, May 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

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48 X users
facebook
6 Facebook pages

Citations

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193 Dimensions

Readers on

mendeley
401 Mendeley
Title
Brain PET in Suspected Dementia: Patterns of Altered FDG Metabolism
Published in
RadioGraphics, May 2014
DOI 10.1148/rg.343135065
Pubmed ID
Authors

Richard K. J. Brown, Nicolaas I. Bohnen, Ka Kit Wong, Satoshi Minoshima, Kirk A. Frey

Abstract

The diagnosis of dementia syndromes can be challenging for clinicians, particularly in the early stages of disease. Patients with higher education levels may experience a marked decline in cognitive function before their dementia is detectable with routine testing methods. In addition, comorbid conditions (eg, depression) and the use of certain medications can confound the clinical assessment. Clinicians require a high degree of certainty before making a diagnosis of Alzheimer disease or some other neurodegenerative disorder, since the impact on patients and their families can be devastating. Moreover, accurate diagnosis is important because emerging therapeutic regimens vary depending on the cause of the dementia. Clinically based testing is useful; however, the results usually do not enable the clinician to make a definitive diagnosis. For this reason, imaging biomarkers are playing an increasingly important role in the workup of patients with suspected dementia. Positron emission tomography with 2-[fluorine-18]fluoro-2-deoxy-D-glucose allows detection of neurodegenerative disorders earlier than is otherwise possible. Accurate interpretation of these studies requires recognition of typical metabolic patterns caused by dementias and of artifacts introduced by image processing. Although visual interpretation is a vital component of image analysis, computer-assisted diagnostic software has been shown to increase diagnostic accuracy.

X Demographics

X Demographics

The data shown below were collected from the profiles of 48 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 401 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 <1%
United Kingdom 3 <1%
Italy 1 <1%
Netherlands 1 <1%
Brazil 1 <1%
Unknown 392 98%

Demographic breakdown

Readers by professional status Count As %
Other 57 14%
Researcher 52 13%
Student > Ph. D. Student 48 12%
Student > Bachelor 40 10%
Student > Postgraduate 34 8%
Other 88 22%
Unknown 82 20%
Readers by discipline Count As %
Medicine and Dentistry 179 45%
Neuroscience 32 8%
Psychology 20 5%
Engineering 19 5%
Biochemistry, Genetics and Molecular Biology 10 2%
Other 45 11%
Unknown 96 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 33. 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 20 November 2023.
All research outputs
#1,211,575
of 25,517,918 outputs
Outputs from RadioGraphics
#189
of 2,842 outputs
Outputs of similar age
#11,647
of 242,459 outputs
Outputs of similar age from RadioGraphics
#2
of 16 outputs
Altmetric has tracked 25,517,918 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,842 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done particularly well, scoring higher than 93% 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 242,459 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.