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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). | 0 | |
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. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |