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The HelioML team is happy to announce the release of HelioML 0.4.0. This release included a complete restructure of the back-end of the book, which now uses Jupyter Book version 0.8.3. As part of the restructure, all the chapter numbers shifted by one; e.g. what was previously Chapter 4 is now Chapter 3. We would like to acknowledge the following people for contributing new chapters to the book since v0.3.0: Colin Small, along with collaborators Matthew R. Argall and Marek Petrik, for contributing Chapter 7 on automatically detecting magnetopause crossings in MMS data, Rafael Pires de Lima, along with collaborator Yue Chen, for contributing Chapter 8 on forecasting Megaelectron‐volt electrons inside Earth's outer radiation belt, and Téo Bloch, along with collaborators Clare Watt, Mathew Owens, Leland McInnes, and Allan R. Macneil, for contributing Chapter 9 on classifying solar wind source regions. We would also like to acknowledge Chris Holdgraf for including us in the Gallery of Jupyter Books. Sincerely, The HelioML Team
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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