Alberto Pepe edited figures/FF figures.2/caption.tex  almost 10 years ago

Commit id: 4cf5723c99321f594786e1c2a33f77212f8cd01d

deletions | additions      

       

\textbf{Figure 1.} Lab A manages to publish bad science whose results are forked by labs B, C, D and E (left) but are not reproducible. Research data from lab A has no impact for science and the Fork Factor can measure this. On the right, lab A publishes sound data which 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 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. research in the two cases.