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Quantitative Analysis of Neurotransmitter Pathways Under Steady State Conditions – A Perspective

Overview of attention for article published in Frontiers in endocrinology, January 2013
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Title
Quantitative Analysis of Neurotransmitter Pathways Under Steady State Conditions – A Perspective
Published in
Frontiers in endocrinology, January 2013
DOI 10.3389/fendo.2013.00179
Pubmed ID
Authors

Arthur J. L. Cooper

Abstract

In a contribution to this Research Topic Erkki Somersalo and Daniela Calvetti carried out a mathematical analysis of neurotransmitter pathways in brain, modeling compartmental nitrogen flux among several major participants - ammonia, glutamine, glutamate, GABA, and selected amino acids. This analysis is important because cerebral nitrogen metabolism is perturbed in many diseases, including liver disease and inborn errors of the urea cycle. These diseases result in an elevation of blood ammonia, which is neurotoxic. Here, a brief description is provided of the discovery of cerebral metabolic compartmentation of nitrogen metabolism - a key feature of cerebral glutamate-glutamine and GABA-glutamine cycles. The work of Somersalo and Calvetti is discussed as a model for future studies of normal and pathological cerebral ammonia metabolism.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Germany 1 4%
Unknown 22 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 25%
Professor 4 17%
Student > Master 3 13%
Student > Ph. D. Student 3 13%
Professor > Associate Professor 2 8%
Other 2 8%
Unknown 4 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 25%
Medicine and Dentistry 4 17%
Neuroscience 3 13%
Biochemistry, Genetics and Molecular Biology 2 8%
Sports and Recreations 1 4%
Other 2 8%
Unknown 6 25%
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 18 November 2013.
All research outputs
#23,154,082
of 25,806,080 outputs
Outputs from Frontiers in endocrinology
#8,518
of 13,284 outputs
Outputs of similar age
#260,868
of 291,290 outputs
Outputs of similar age from Frontiers in endocrinology
#135
of 210 outputs
Altmetric has tracked 25,806,080 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 13,284 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 1st percentile – i.e., 1% 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 291,290 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 210 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.