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Software . 2018
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Software . 2018
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konstantinstadler/pymrio_article: Initial submission JORS

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 29 Oct 2018Publisher:Zenodo
Authors: Stadler, Konstantin;
Code repository: https://github.com/konstantinstadler/pymrio_article/tree/v0.2

doi: 10.5281/zenodo.1473432 , 10.5281/zenodo.1154786

konstantinstadler/pymrio_article: Initial submission JORS

Abstract

Pymrio is an open source tool for Environmentally Extended Multi-Regional Input-Output (EE MRIO) analysis developed in Python. It provides a high-level abstraction layer for global EE MRIO databases in order to simplify common EE MRIO data tasks. Among others, Pymrio includes parsers for several openly available EE MRIO databases (EXIOBASE v1 - v3, WIOD, Eora26) as well as methods for production and consumption based accounts calculation, aggregation, stressor origin estimation and visualization. The use of a consistent storage format including meta data and modification history for MRIOs allows to exchange data with other analysis tools, aiming for an increased interoperability of Industrial Ecology analysis software. This is the version submitted to the Journal of Open Research Software (JORS)

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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).
BIP!Citations provided by BIP!
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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