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A metabonomic investigation on the biochemical perturbation in post-stroke patients with depressive disorder (PSD)

Overview of attention for article published in Metabolic Brain Disease, November 2015
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Title
A metabonomic investigation on the biochemical perturbation in post-stroke patients with depressive disorder (PSD)
Published in
Metabolic Brain Disease, November 2015
DOI 10.1007/s11011-015-9748-z
Pubmed ID
Authors

Xinghua Ding, Ruoxu Liu, Wenkai Li, Hengjia Ni, Yong Liu, Dandan Wu, Shuguang Yang, Jing Liu, Bo Xiao, Shaojun Liu

Abstract

A metabonomics study based on GC/MS and multivariate statistical analysis was performed involving 28 post stroke depressed (PSD) patients, 27 post-stroke non-depressed (PSND) patients and 33 healthy subjects to investigate the biochemical perturbation in their plasma samples. The outcome of this study showed that there was distinctive metabolic profile for PSD patients. Seven sentinel metabolites showed marked perturbations in PSD patients' blood. The introduction of metabonomics approach may provide a novel metabonomic insight about PSD and the sentinel metabolites for classifying PSD.

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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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 21%
Student > Master 4 10%
Student > Doctoral Student 3 8%
Other 2 5%
Student > Bachelor 2 5%
Other 4 10%
Unknown 16 41%
Readers by discipline Count As %
Medicine and Dentistry 6 15%
Psychology 4 10%
Biochemistry, Genetics and Molecular Biology 2 5%
Nursing and Health Professions 2 5%
Veterinary Science and Veterinary Medicine 1 3%
Other 7 18%
Unknown 17 44%
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 06 November 2015.
All research outputs
#20,295,501
of 22,832,057 outputs
Outputs from Metabolic Brain Disease
#835
of 1,054 outputs
Outputs of similar age
#239,156
of 285,414 outputs
Outputs of similar age from Metabolic Brain Disease
#16
of 24 outputs
Altmetric has tracked 22,832,057 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,054 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.