Literature DB >> 24363170

Reply to the Comment on: "Utilizing artificial neural networks in MATLAB to achieve parts-per-billion mass measurement accuracy with a Fourier transform ion cyclotron resonance mass spectrometer" by D. Keith Williams Jr., Alexander L. Kovach, David C. Muddiman, and Kenneth W. Hanck. J. Am. Soc. Mass Spectrom. 20, 1303-1310 (2009).

David C Muddiman1.   

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Year:  2014        PMID： 24363170     DOI： 10.1007/s13361-013-0806-7

Source DB:  PubMed          Journal:  J Am Soc Mass Spectrom        ISSN： 1044-0305            Impact factor:   3.109


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  2 in total

1.  Parts-per-billion mass measurement accuracy achieved through the combination of multiple linear regression and automatic gain control in a Fourier transform ion cyclotron resonance mass spectrometer.

Authors:  D Keith Williams; David C Muddiman
Journal:  Anal Chem       Date:  2007-06-01       Impact factor: 6.986

2.  Statistical evaluation of internal and external mass calibration laws utilized in fourier transform ion cyclotron resonance mass spectrometry.

Authors:  David C Muddiman; Ann L Oberg
Journal:  Anal Chem       Date:  2005-04-15       Impact factor: 6.986
  2 in total

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