The restriction subscale PCA showed three factors with eigenvalues greater than one, but the screeplot showed a clear break after two factors, indicating that the first two factors explained much more of the variance than the remaining factors. (ijbnpa.biomedcentral.com)
Using the latent root criterion of retaining factors with Eigenvalues greater than 1.0, an eleven - factor structure was identified, with the extracted factors explaining 70.9 % of the total variance. (scirp.org)
They are correct in that i implemented the fit to the log eigenvalue spectrum in fig S4 incorrectly, but fortunately it makes no difference (as stated above)-- I have no idea why they didn't let me know when they found it. (realclimate.org)