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Ferdinando Pucci edited figures/FF figures.2/caption.tex
over 9 years ago
Commit id: 0829cb085c05eb4bb25e129251a57d8dc95f0dc2
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\textbf{Figure 1.}
Left panel, Lab A publishes the results of an experiment (left). Labs B, C, D and E find it interesting and decide to fork it to confirm its conclusions and perform additional experiments. However, they soon realize that they cannot reproduce lab A's data.
On the right, Right panel, the experiment published by lab A is forked by labs B, C, D and E, who then generate more data (A.B1, A.C1, A.D1 and A.E1) that
leads lead to further discoveries (A.C2 and A.E2), more forking (A.C.F) and new collaborations (A.B2D2). The Fork Factor can accurately measure the impact of lab A research in the two cases, in a much faster and functional way than the Impact Factor.