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A rapid MALDI-TOF mass spectrometry workflow for Drosophila melanogaster differential neuropeptidomics

Overview of attention for article published in Molecular Brain, December 2013
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Title
A rapid MALDI-TOF mass spectrometry workflow for Drosophila melanogaster differential neuropeptidomics
Published in
Molecular Brain, December 2013
DOI 10.1186/1756-6606-6-60
Pubmed ID
Authors

Joseph P Salisbury, Kristin J Boggio, Yun-Wei A Hsu, Jeniffer Quijada, Anna Sivachenko, Gabriele Gloeckner, Paul J Kowalski, Michael L Easterling, Michael Rosbash, Jeffrey N Agar

Abstract

Neuropeptides are a diverse category of signaling molecules in the nervous system regulating a variety of processes including food intake, social behavior, circadian rhythms, learning, and memory. Both the identification and functional characterization of specific neuropeptides are ongoing fields of research. Matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS) analysis of nervous tissues from a variety of organisms allows direct detection and identification of neuropeptides. Here, we demonstrate an analysis workflow that allows for the detection of differences in specific neuropeptides amongst a variety of neuropeptides being simultaneously measured. For sample preparation, we describe a straight-forward and rapid (minutes) method where individual adult Drosophila melanogaster brains are analyzed. Using a MATLAB-based data analysis workflow, also compatible with MALDI-TOF mass spectra obtained from other sample preparations and instrumentation, we demonstrate how changes in neuropeptides levels can be detected with this method.

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Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 4%
Austria 1 2%
Israel 1 2%
Canada 1 2%
United States 1 2%
Unknown 43 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 22%
Researcher 10 20%
Student > Master 7 14%
Student > Doctoral Student 3 6%
Student > Bachelor 3 6%
Other 11 22%
Unknown 4 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 35%
Biochemistry, Genetics and Molecular Biology 7 14%
Neuroscience 7 14%
Engineering 3 6%
Computer Science 2 4%
Other 4 8%
Unknown 9 18%
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 03 February 2014.
All research outputs
#18,345,259
of 23,577,654 outputs
Outputs from Molecular Brain
#770
of 1,143 outputs
Outputs of similar age
#225,941
of 309,991 outputs
Outputs of similar age from Molecular Brain
#20
of 32 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,143 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
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We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.