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SALib-impact

DOI

Code for citation analysis and figures to support the paper published in SESMO.

Iwanaga, T., Usher, W., & Herman, J. (2022).
Toward SALib 2.0: Advancing the accessibility and interpretability of global sensitivity analyses.
Socio-Environmental Systems Modelling, 4, 18155.
Retrieved from https://sesmo.org/article/view/18155

This repository can be cited directly as:

Iwanaga, T. (2021).
ConnectedSystems/SALib-impact: v0.5 (v0.5). Zenodo.
https://doi.org/10.5281/zenodo.5523624

The src directory holds Python scripts to conduct analysis of citation trends.

The notebooks directory holds Jupyter Notebooks to produce example code snippets for the manuscript.

Figures are stored in the figures folder.

Notes

Data Sources:

Star history:

https://star-history.t9t.io/#SALib/SALib

Citation data:

Sourced from Google Scholar (via Publish or Perish v7.33)

Alternative sources could include: https://dimensions.ai

https://app.dimensions.ai/details/publication/pub.1068918762?search_mode=content&search_text=%22SALib%3A%20An%20open-source%20Python%20library%20for%20Sensitivity%0AAnalysis%22&search_type=kws&search_field=text_search

https://app.dimensions.ai/analytics/publication/overview/timeline?or_subset_publication_citations=pub.1068918762&local:indicator-y1=timeline-source-published

Fields of Research Data:

https://app.dimensions.ai/analytics/publication/for/barchart?or_subset_publication_citations=pub.1068918762

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Code and data to analyze the impact of, and interest in, SALib

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