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Pyleoclim: A Python package for the analysis and visualization of paleoclimate data

Authors: Khider, Deborah; Emile-Geay, Julien; Zhu, Feng; James, Alexander; Landers, Jordan; Kwan, Myron; Athreya, Pratheek; +1 Authors

Pyleoclim: A Python package for the analysis and visualization of paleoclimate data

Abstract

What's Changed fix gkernel by @alexkjames in https://github.com/LinkedEarth/Pyleoclim_util/pull/393 Create resolution class by @alexkjames in https://github.com/LinkedEarth/Pyleoclim_util/pull/394 Lipd and LipdSeries deprecation warnings by @alexkjames in https://github.com/LinkedEarth/Pyleoclim_util/pull/397 Stripe fix by @CommonClimate in https://github.com/LinkedEarth/Pyleoclim_util/pull/398 updated warning messages by @alexkjames in https://github.com/LinkedEarth/Pyleoclim_util/pull/399 Full Changelog: https://github.com/LinkedEarth/Pyleoclim_util/compare/v0.11.0...v0.12.0

If you use this software, please cite it as below.

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selected citations
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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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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