Table 3. EFA of communities of users around science.

Factor loadings and correlation among factors.

	Science Engagement	Social Media Activity	Social Media Capital	Science Focus
tws	0.966	0.009	0.019	0.084
otw	0.946	-0.008	0.006	0.065
p tw	0.889	0.006	0.020	0.115
tws hash	0.776	0.015	0.022	0.033
tweets	0.032	0.836	0.258	-0.077
likes given	-0.004	0.811	0.064	-0.089
followers	0.003	-0.019	0.785	0.013
followees	0.001	0.161	0.727	-0.014
listed count	0.044	0.412	0.613	-0.030
avg title length	-0.006	0.048	-0.051	0.754
% of tweets to papers	0.249	-0.186	-0.030	0.546
avg days to tweet pub	0.011	0.060	-0.041	-0.490
Correlations among factors (Spearman’s Rho)
Science Engagement	1.000
Social Media Activity	-0.433	1.000
Social Media Capital	0.175	0.157	1.000
Science Focus	-0.363	0.062	-0.254	1.000

Note: PCA used as extraction method. Oblimin oblique rotation (structure matrix). Factor loadings roughly > = 0.500 are printed in bold