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PTB-M4D/time-series-metadata: v0.2.0

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 01 Aug 2023 English Publisher:Zenodo
Authors: Ludwig, Björn; Gruber, Maximilian;
Code repository: https://github.com/PTB-M4D/time-series-metadata/tree/v0.2.0

doi: 10.5281/zenodo.8205677 , 10.5281/zenodo.3935859 , 10.5281/zenodo.8205700 , 10.5281/zenodo.8205708 , 10.5281/zenodo.8205674

PTB-M4D/time-series-metadata: v0.2.0

Abstract

v0.2.0 (2023-08-01) Documentation docs(Python version): upgrade Python versions from greater or equal 3.5 to greater or equal 3.7 (2b08aaf) docs(README): refresh links (afdf4f4) Feature feat: change into bla-test (e911e61)

Related Organizations
Keywords

measurement uncertainty, metadata, Physikalisch-Technische Bundesanstalt, measurements, time series, metrology software, Python

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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.
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