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The data are organized into three subfolders. One subfolder for each task: MOT: Each file contains a 3x4 matrix called “MatriceRisultati”. Each row of the matrix “MatriceRisultati” is a condition. The columns contain the following information: 1st: Condition 2nd: Number of response correct 3rd: Total number of trials 4th: proportion between column 2 and 3 Numerosity discrimination: Each file contains a matrix called “a”. Each row of the matrix “a” is a trial. The columns contain the following information: 1st: Test Numerosity 2nd: Subject response 3rd: Reference position: 1= left; 2=right Size discrimination: Each file contains a matrix called “MATR”. Each row of the matrix “MATR” is a trial. The columns contain the following information: 1st: Delta (%) 2nd: Subject response 3rd: Test stimulus size (deg) 4th: Probe stimulus size (deg) 5th: Delta (%) 6th: delta (deg)
approximate number sense (ANS), Weber fraction, math anxiety, numerical cognition, math abilities
approximate number sense (ANS), Weber fraction, math anxiety, numerical cognition, math abilities
| selected citations These citations are derived from selected sources. 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 |
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