↓ Skip to main content

Platelet-activating factors are associated with cognitive deficits in depressed coronary artery disease patients: a hypothesis-generating study

Overview of attention for article published in Journal of Neuroinflammation, July 2014
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
51 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Platelet-activating factors are associated with cognitive deficits in depressed coronary artery disease patients: a hypothesis-generating study
Published in
Journal of Neuroinflammation, July 2014
DOI 10.1186/1742-2094-11-119
Pubmed ID
Authors

Graham Mazereeuw, Nathan Herrmann, Hongbin Xu, Daniel Figeys, Paul I Oh, Steffany AL Bennett, Krista L Lanctôt

Abstract

Patients with coronary artery disease (CAD) are at risk of accelerated cognitive decline, particularly those with major depression. Mechanisms for cognitive deficits associated with CAD, and the effects of depression, remain poorly understood. However, CAD is associated with inflammatory processes that have been linked to neurodegeneration, may contribute to cognitive decline, and are elevated in depression. Platelet-activating factors (PAFs) are emerging as key lipid mediators that may be central to those processes and highly relevant to cognitive decline in CAD.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
United States 1 2%
Unknown 49 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 24%
Student > Bachelor 12 24%
Researcher 4 8%
Student > Ph. D. Student 3 6%
Professor > Associate Professor 2 4%
Other 6 12%
Unknown 12 24%
Readers by discipline Count As %
Medicine and Dentistry 12 24%
Psychology 7 14%
Biochemistry, Genetics and Molecular Biology 5 10%
Nursing and Health Professions 4 8%
Neuroscience 4 8%
Other 8 16%
Unknown 11 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 09 July 2014.
All research outputs
#2,246,536
of 4,015,364 outputs
Outputs from Journal of Neuroinflammation
#310
of 594 outputs
Outputs of similar age
#53,036
of 99,966 outputs
Outputs of similar age from Journal of Neuroinflammation
#16
of 29 outputs
Altmetric has tracked 4,015,364 research outputs across all sources so far. This one is in the 25th percentile – i.e., 25% of other outputs scored the same or lower than it.
So far Altmetric has tracked 594 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 27th percentile – i.e., 27% 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 99,966 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.