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ischtz/gridfix: Initial release

Authors: Immo Schuetz;

ischtz/gridfix: Initial release

Abstract

This is the first release of GridFix after acceptance of the corresponding manuscript (see https://www.frontiersin.org/articles/10.3389/fnhum.2017.00491/abstract). Supported features: Image parcellations based on regular grid Explicit modeling of Central Viewer Bias (euclidean distance, Gaussian map, taxicab/manhattan distance) Low-level image features: luminance, luminance contrast, edges Feature values from saliency maps (mean, peak, ...) Generation of predictor files and exemplary R source code for GLMM analysis Please refer to the documentation for usage examples and references: https://ischtz.github.io/gridfix/

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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