The aim of this paper is to extend our knowledge about the power-lawrelationship between citation-based performance and collaboration patterns forpapers of the Natural Sciences domain. We analyzed 829,924 articles thatreceived 16,490,346 citations. The number of articles published throughcollaboration account for 89%. The citation-based performance and collaborationpatterns exhibit a power-law correlation with a scaling exponent of 1.20,SD=0.07. We found that the Matthew effect is stronger for collaborated papersthan for single-authored. This means that the citations to a field researchareas articles increase 2.30 times each time it doubles the number ofcollaborative papers. The scaling exponent for the power-law relationship forsingle-authored papers was 0.85, SD=0.11. The citations to a field researcharea single-authored articles increase 1.89 times each time the research areadoubles the number of non-collaborative papers.
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