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Unsupervised machine learning applied to scanning precession electron diffraction data

Overview of attention for article published in Advanced Structural and Chemical Imaging, March 2019
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Title
Unsupervised machine learning applied to scanning precession electron diffraction data
Published in
Advanced Structural and Chemical Imaging, March 2019
DOI 10.1186/s40679-019-0063-3
Authors

Ben H. Martineau, Duncan N. Johnstone, Antonius T. J. van Helvoort, Paul A. Midgley, Alexander S. Eggeman

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 87 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 30%
Researcher 16 18%
Student > Master 13 15%
Student > Doctoral Student 4 5%
Professor 4 5%
Other 6 7%
Unknown 18 21%
Readers by discipline Count As %
Materials Science 32 37%
Physics and Astronomy 12 14%
Engineering 7 8%
Chemistry 3 3%
Agricultural and Biological Sciences 2 2%
Other 6 7%
Unknown 25 29%