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Mass Spectrometry-Based Approaches to Understand the Molecular Basis of Memory

Overview of attention for article published in Frontiers in Chemistry, October 2016
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3 X users

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Title
Mass Spectrometry-Based Approaches to Understand the Molecular Basis of Memory
Published in
Frontiers in Chemistry, October 2016
DOI 10.3389/fchem.2016.00040
Pubmed ID
Authors

Arthur H. Pontes, Marcelo V. de Sousa

Abstract

The central nervous system is responsible for an array of cognitive functions such as memory, learning, language, and attention. These processes tend to take place in distinct brain regions; yet, they need to be integrated to give rise to adaptive or meaningful behavior. Since cognitive processes result from underlying cellular and molecular changes, genomics and transcriptomics assays have been applied to human and animal models to understand such events. Nevertheless, genes and RNAs are not the end products of most biological functions. In order to gain further insights toward the understanding of brain processes, the field of proteomics has been of increasing importance in the past years. Advancements in liquid chromatography-tandem mass spectrometry (LC-MS/MS) have enabled the identification and quantification of thousands of proteins with high accuracy and sensitivity, fostering a revolution in the neurosciences. Herein, we review the molecular bases of explicit memory in the hippocampus. We outline the principles of mass spectrometry (MS)-based proteomics, highlighting the use of this analytical tool to study memory formation. In addition, we discuss MS-based targeted approaches as the future of protein analysis.

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The data shown below were collected from the profiles of 3 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 54 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 20%
Researcher 10 18%
Student > Bachelor 9 16%
Student > Master 8 15%
Student > Doctoral Student 2 4%
Other 6 11%
Unknown 9 16%
Readers by discipline Count As %
Neuroscience 11 20%
Agricultural and Biological Sciences 10 18%
Biochemistry, Genetics and Molecular Biology 6 11%
Engineering 4 7%
Chemistry 4 7%
Other 8 15%
Unknown 12 22%
Attention Score in Context

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 15 December 2016.
All research outputs
#13,992,567
of 22,893,031 outputs
Outputs from Frontiers in Chemistry
#919
of 5,973 outputs
Outputs of similar age
#176,311
of 319,861 outputs
Outputs of similar age from Frontiers in Chemistry
#3
of 8 outputs
Altmetric has tracked 22,893,031 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,973 research outputs from this source. They receive a mean Attention Score of 2.0. This one has done well, scoring higher than 83% 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 319,861 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
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 5 of them.