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https://github.com/connectedsystems/salib-impact

Code and data to analyze the impact of, and interest in, SALib
https://github.com/connectedsystems/salib-impact

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

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SALib-impact

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.5523624.svg)](https://doi.org/10.5281/zenodo.5523624)

Code for citation analysis and figures to support the paper published in [SESMO](https://sesmo.org/article/view/18155).

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](https://harzing.com/blog/2019/09/publish-or-perish-version-7))

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