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In silico Therapeutics for Neurogenic Hypertension and Vasovagal Syncope

Overview of attention for article published in Frontiers in Neuroscience, January 2016
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  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 tweeter
peer_reviews
1 peer review site
facebook
1 Facebook page

Citations

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1 Dimensions

Readers on

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14 Mendeley
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Title
In silico Therapeutics for Neurogenic Hypertension and Vasovagal Syncope
Published in
Frontiers in Neuroscience, January 2016
DOI 10.3389/fnins.2015.00520
Pubmed ID
Authors

Tijana Bojić, Vladimir R. Perović, Sanja Glišić

Abstract

Neurocardiovascular diseases (NCVD) are the leading cause of death in the developed world and will remain so till 2020. In these diseases the pathologically changed nervous control of cardiovascular system has the central role. The actual NCV syndromes are neurogenic hypertension, representing the sympathetically mediated disorder, and vasovagal syncope, which is the vagally mediated disorders. Vasovagal syncope, the disease far from its etiological treatment, could benefit from recruiting and application of antimuscarinic drugs used in other parasympathetic disorders. The informational spectrum method (ISM), a method widely applied for the characterization of protein-protein interactions in the field of immunology, endocrinology and anti HIV drug discovery, was applied for the first time in the analysis of neurogenic hypertension and vasovagal syncope therapeutic targets. In silico analysis revealed the potential involvement of apelin in neurogenic hypertension. Applying the EIIP/ISM bioinformatics concept in investigation of drugs for treatment of vasovagal syncope suggests that 78% of tested antimuscarinic drugs could have anti vasovagal syncope effect. The presented results confirm that ISM is a promissing method for investigation of molecular mechanisms underlying pathophysiological proceses of NCV syndromes and discovery of therapeutics targets for their treatment.

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

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 29%
Researcher 3 21%
Student > Ph. D. Student 3 21%
Student > Doctoral Student 1 7%
Librarian 1 7%
Other 1 7%
Unknown 1 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 21%
Biochemistry, Genetics and Molecular Biology 2 14%
Computer Science 1 7%
Arts and Humanities 1 7%
Immunology and Microbiology 1 7%
Other 3 21%
Unknown 3 21%

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 27 November 2018.
All research outputs
#8,014,221
of 13,927,501 outputs
Outputs from Frontiers in Neuroscience
#3,021
of 5,032 outputs
Outputs of similar age
#147,229
of 337,329 outputs
Outputs of similar age from Frontiers in Neuroscience
#89
of 159 outputs
Altmetric has tracked 13,927,501 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 5,032 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one is in the 35th percentile – i.e., 35% 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 337,329 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 53% of its contemporaries.
We're also able to compare this research output to 159 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.