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Cochrane Database of Systematic Reviews

Dopamine transporter imaging for the diagnosis of dementia with Lewy bodies

Overview of attention for article published in Cochrane database of systematic reviews, January 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
8 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
57 Dimensions

Readers on

mendeley
175 Mendeley
Title
Dopamine transporter imaging for the diagnosis of dementia with Lewy bodies
Published in
Cochrane database of systematic reviews, January 2015
DOI 10.1002/14651858.cd010633.pub2
Pubmed ID
Authors

Jenny McCleery, Shirlony Morgan, Kevin M Bradley, Anna H Noel-Storr, Olaf Ansorge, Chris Hyde

Abstract

Dementia with Lewy bodies (DLB) is a common cause of neurodegenerative dementia of old age. Its accurate recognition can be important in clinical management and is essential for the development of disease-modifying treatments. The current clinical diagnostic criteria are limited particularly by relatively poor sensitivity. Dopamine transporter (DAT) imaging using single-photon emission computed tomography (SPECT) is the most highly developed supplementary test for DLB, and is now incorporated as a suggestive feature in the consensus diagnostic criteria. However, there is uncertainty about its accuracy and its place in clinical practice. It is most commonly used in people who are already suspected of having DLB.

Twitter Demographics

The data shown below were collected from the profiles of 8 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 175 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Netherlands 1 <1%
Unknown 173 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 33 19%
Student > Bachelor 27 15%
Researcher 23 13%
Student > Ph. D. Student 18 10%
Student > Doctoral Student 12 7%
Other 29 17%
Unknown 33 19%
Readers by discipline Count As %
Medicine and Dentistry 53 30%
Psychology 22 13%
Nursing and Health Professions 18 10%
Neuroscience 8 5%
Social Sciences 7 4%
Other 24 14%
Unknown 43 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 04 December 2018.
All research outputs
#4,691,456
of 17,435,797 outputs
Outputs from Cochrane database of systematic reviews
#7,083
of 11,687 outputs
Outputs of similar age
#71,629
of 295,528 outputs
Outputs of similar age from Cochrane database of systematic reviews
#157
of 235 outputs
Altmetric has tracked 17,435,797 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 11,687 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.1. This one is in the 38th percentile – i.e., 38% 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 295,528 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 75% of its contemporaries.
We're also able to compare this research output to 235 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.