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Applications of blood-based protein biomarker strategies in the study of psychiatric disorders

Overview of attention for article published in Progress in Neurobiology, August 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 X users
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5 patents
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

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74 Dimensions

Readers on

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218 Mendeley
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Title
Applications of blood-based protein biomarker strategies in the study of psychiatric disorders
Published in
Progress in Neurobiology, August 2014
DOI 10.1016/j.pneurobio.2014.08.002
Pubmed ID
Authors

Man K. Chan, Michael G. Gottschalk, Frieder Haenisch, Jakub Tomasik, Tillmann Ruland, Hassan Rahmoune, Paul C. Guest, Sabine Bahn

Abstract

Major psychiatric disorders such as schizophrenia, major depressive and bipolar disorders are severe, chronic and debilitating, and are associated with high disease burden and healthcare costs. Currently, diagnoses of these disorders rely on interview-based assessments of subjective self-reported symptoms. Early diagnosis is difficult, misdiagnosis is a frequent occurrence and there are no objective tests that aid in the prediction of individual responses to treatment. Consequently, validated biomarkers are urgently needed to help address these unmet clinical needs. Historically, psychiatric disorders are viewed as brain disorders and consequently only a few researchers have as yet evaluated systemic changes in psychiatric patients. However, promising research has begun to challenge this concept and there is an increasing awareness that disease-related changes can be traced in the peripheral system which may even be involved in the precipitation of disease onset and course. Converging evidence from molecular profiling analysis of blood serum/plasma have revealed robust molecular changes in psychiatric patients, suggesting that these disorders may be detectable in other systems of the body such as the circulating blood. In this review, we discuss the current clinical needs in psychiatry, highlight the importance of biomarkers in the field, and review a representative selection of biomarker studies to highlight opportunities for the implementation of personalized medicine approaches in the field of psychiatry. It is anticipated that the implementation of validated biomarker tests will not only improve the diagnosis and more effective treatment of psychiatric patients, but also improve prognosis and disease outcome.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 218 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
Spain 1 <1%
Lithuania 1 <1%
United States 1 <1%
Unknown 213 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 37 17%
Researcher 34 16%
Student > Ph. D. Student 30 14%
Student > Master 25 11%
Student > Doctoral Student 18 8%
Other 33 15%
Unknown 41 19%
Readers by discipline Count As %
Medicine and Dentistry 37 17%
Psychology 30 14%
Agricultural and Biological Sciences 30 14%
Neuroscience 18 8%
Biochemistry, Genetics and Molecular Biology 16 7%
Other 35 16%
Unknown 52 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 01 August 2023.
All research outputs
#3,253,606
of 25,373,627 outputs
Outputs from Progress in Neurobiology
#325
of 1,356 outputs
Outputs of similar age
#32,397
of 247,197 outputs
Outputs of similar age from Progress in Neurobiology
#4
of 8 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,356 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one has done well, scoring higher than 76% 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 247,197 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 86% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.