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ZENODO
Software . 2018
Data sources: Datacite
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ZENODO
Software . 2018
Data sources: ZENODO
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Software . 2018
Data sources: Datacite
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huaxia1985/Correction-for-non-random-sampling: Correction-for-non-random-sampling

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 31 Jan 2018Publisher:Zenodo
Authors: Hua, Xia; Roblanf;
Code repository: https://github.com/huaxia1985/Correction-for-non-random-sampling/tree/v1.0

doi: 10.5281/zenodo.1162969 , 10.5281/zenodo.1162968

huaxia1985/Correction-for-non-random-sampling: Correction-for-non-random-sampling

Abstract

Codes used in paper: "The influence of non-random species-sampling on macroevolutionary and macroecological inference from phylogenies" by Xia Hua and Robert Lanfear. The code implements our proposed correction for non-random sampling under the BiSSE framework in R.

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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
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