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ZENODO
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License: CC BY
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image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2022
License: CC BY
Data sources: ZENODO
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ranking-species-sensitivity

Authors: Lucas Medeiros;

ranking-species-sensitivity

Abstract

This repository contains the code and data associated with the paper: Medeiros, L. P., Allesina, S., Dakos, V., Sugihara, G., and Saavedra, S. (2022). Ranking species based on sensitivity to perturbations under non-equilibrium community dynamics. Ecology Letters. The repository contains 4 folders: code, data, figs, and results. Under code/scripts we provide the R scripts to reproduce Figures 1-4 and SI figures. Figure 1 can be generated by running fig1.R. For Figures 2 and 3, we need to first run generate_synthetic_time_series.R, perturbation_analyses_synthetic_time_series.R, and jacobian_sensitivities_synthetic_time_series.R for each population dynamics model. Results are already saved under data/synthetic_time_series and results/perturbation_analyses and figures can be generated by running fig2.R and fig3.R. For Figure 4, we need to first run forecast_smap_empirical_time_series.R for each empirical time series. Results are already saved under results/forecast_analyses and the figure can be generated by running fig4A.R and fig4BC.R. The empirical time series can be found under data/empirical_time_series. SI figures can be generated with the corresponding scripts under code/scripts. All figures from the paper can be found under figs.

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citations
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.
BIP!Impulse provided by BIP!
0
Average
Average
Average