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OmniSpect: An Open MATLAB-Based Tool for Visualization and Analysis of Matrix-Assisted Laser Desorption/Ionization and Desorption Electrospray Ionization Mass Spectrometry Images

Overview of attention for article published in Journal of the American Society for Mass Spectrometry, February 2013
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Title
OmniSpect: An Open MATLAB-Based Tool for Visualization and Analysis of Matrix-Assisted Laser Desorption/Ionization and Desorption Electrospray Ionization Mass Spectrometry Images
Published in
Journal of the American Society for Mass Spectrometry, February 2013
DOI 10.1007/s13361-012-0572-y
Pubmed ID
Authors

R. Mitchell Parry, Asiri S. Galhena, Chaminda M. Gamage, Rachel V. Bennett, May D. Wang, Facundo M. Fernández

Abstract

We present omniSpect, an open source web- and MATLAB-based software tool for both desorption electrospray ionization (DESI) and matrix-assisted laser desorption ionization (MALDI) mass spectrometry imaging (MSI) that performs computationally intensive functions on a remote server. These functions include converting data from a variety of file formats into a common format easily manipulated in MATLAB, transforming time-series mass spectra into mass spectrometry images based on a probe spatial raster path, and multivariate analysis. OmniSpect provides an extensible suite of tools to meet the computational requirements needed for visualizing open and proprietary format MSI data.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Canada 1 2%
Unknown 58 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 28%
Student > Ph. D. Student 14 23%
Student > Bachelor 7 11%
Student > Master 5 8%
Other 4 7%
Other 9 15%
Unknown 5 8%
Readers by discipline Count As %
Chemistry 15 25%
Computer Science 9 15%
Biochemistry, Genetics and Molecular Biology 8 13%
Agricultural and Biological Sciences 8 13%
Engineering 6 10%
Other 7 11%
Unknown 8 13%
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 24 April 2013.
All research outputs
#20,656,161
of 25,373,627 outputs
Outputs from Journal of the American Society for Mass Spectrometry
#3,083
of 3,833 outputs
Outputs of similar age
#158,054
of 205,032 outputs
Outputs of similar age from Journal of the American Society for Mass Spectrometry
#18
of 20 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,833 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 10th percentile – i.e., 10% 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 205,032 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.