
What's Changed Add information how to use virtualenv on windows by @georgievgeorgi in https://github.com/h2020charisma/ramanchada2/pull/53 Recover spikes xcalib gg by @georgievgeorgi in https://github.com/h2020charisma/ramanchada2/pull/54 use fixed rng seeds in tests by @georgievgeorgi in https://github.com/h2020charisma/ramanchada2/pull/56 not completely production level yet by @kerberizer in https://github.com/h2020charisma/ramanchada2/pull/52 require python>=3.9 and test spectra added by @georgievgeorgi in https://github.com/h2020charisma/ramanchada2/pull/55 Update requirements.txt by @georgievgeorgi in https://github.com/h2020charisma/ramanchada2/pull/57 simplify README.pypi for easier maintenance by @kerberizer in https://github.com/h2020charisma/ramanchada2/pull/58 v0.0.2 by @georgievgeorgi in https://github.com/h2020charisma/ramanchada2/pull/59 Full Changelog: https://github.com/h2020charisma/ramanchada2/compare/v0.0.1...v0.0.2
| 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). | 0 | |
| 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 |
