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argallmr/pymms: v0.4.6 (2022-05-19)

Authors: Matthew Argall; colinrsmall; Marek Petrik;

argallmr/pymms: v0.4.6 (2022-05-19)

Abstract

v0.4.6 contains: Support for Argall, et al. 2022: Theory, observations, and simulations of kinetic entropy in a magnetotail electron diffusion region Enhanced support for distribution functions, including Preconditioning the distribution Maxwellian look-up table Distribution function object Examples based on plots included in the paper New modules for EPD, DSS, and ANC data products Decode FOM strings better CDF reader checks for empty files Bug fixes

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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).
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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.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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