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Platelet activating factors are associated with depressive symptoms in coronary artery disease patients: a hypothesis-generating study

Overview of attention for article published in Neuropsychiatric Disease and Treatment, September 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)

Mentioned by

twitter
3 tweeters

Citations

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12 Dimensions

Readers on

mendeley
20 Mendeley
Title
Platelet activating factors are associated with depressive symptoms in coronary artery disease patients: a hypothesis-generating study
Published in
Neuropsychiatric Disease and Treatment, September 2015
DOI 10.2147/ndt.s87111
Pubmed ID
Authors

Krista L. Lanctot, Graham Mazereeuw, Nathan Herrmann, Hongbin Xu, Alexandre Blanchard, Daniel Figeys, Paul Oh, Steffany Bennett

Abstract

Depression is a frequent complication of coronary artery disease (CAD) with an unknown etiology. Platelet activating factor (PAF) lipids, which are associated with CAD, have recently been linked with novel proposed etiopathological mechanisms for depression such as inflammation, oxidative/nitrosative stress, and vascular endothelial dysfunction. This hypothesis-generating study investigated the relationships between various PAF species and depressive symptoms in 26 CAD patients (age: 60.6±9.2 years, 69% male, mean Hamilton Depression Rating Scale [HAM-D] score: 11.8±5.2, HAM-D range: 3-20). Plasma PAF analyses were performed using high performance liquid chromatography electrospray ionization mass spectrometry in precursor ion scan. Significant associations between depressive symptom severity (HAM-D score) and a greater plasma abundance of the PAFs phosphocholine (PC) PC(O-12:0/2:0) (r=0.49, P=0.01), PC(O-14:1/2:0) (r=0.43, P=0.03), PC(O-17:3/2:0) (r=0.44, P=0.04), and PC(O-18:3/2:0) (r=0.50, P=0.01) were observed. Associations between those PAFs and HAM-D score persisted after adjusting for age and sex. These preliminary findings support the exploration of the PAF lipidome for depressive symptom biomarkers in CAD patients. Patients were recruited as part of the following clinical trial: NCT00981383.

Twitter Demographics

The data shown below were collected from the profiles of 3 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 20%
Student > Master 2 10%
Student > Postgraduate 2 10%
Student > Bachelor 2 10%
Student > Doctoral Student 1 5%
Other 3 15%
Unknown 6 30%
Readers by discipline Count As %
Medicine and Dentistry 5 25%
Neuroscience 2 10%
Biochemistry, Genetics and Molecular Biology 2 10%
Nursing and Health Professions 2 10%
Psychology 1 5%
Other 4 20%
Unknown 4 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 07 September 2015.
All research outputs
#8,378,985
of 14,535,828 outputs
Outputs from Neuropsychiatric Disease and Treatment
#1,163
of 2,442 outputs
Outputs of similar age
#108,298
of 241,259 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#68
of 101 outputs
Altmetric has tracked 14,535,828 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,442 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 47th percentile – i.e., 47% 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 241,259 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.