Table 4. Mixed effects models predicting February-May 2020 changes in the number of submissions per area of research.

	Health & Medicine	Life Sciences	Physical Sciences & Engineering	Social Sciences & Economics
Women	−0.056	−0.058	−0.052	−0.053
	(0.016)	(0.016)	(0.020)	(0.026)
	p = 0.001	p < 0.001	p = 0.010	p = 0.041
Age	−0.002	−0.002	−0.003	−0.003
	(0.0002)	(0.0002)	(0.0003)	(0.0004)
	p < 0.001	p < 0.001	p < 0.001	p = <0.001
Residential	0.018	0.005	0.003	0.003
	(0.004)	(0.003)	(0.004)	(0.003)
	p = <0.001	p = 0.147	p = 0.522	p = 0.279
Women×Age	0.002	0.002	0.002	0.002
	(0.0004)	(0.0004)	(0.001)	(0.001)
	p < 0.001	p < 0.001	p < 0.001	p = 0.008
Women×Residential	−0.010	−0.002	−0.004	−0.001
	(0.001)	(0.001)	(0.001)	(0.002)
	p < 0.001	p = 0.074	p = 0.005	p = 0.490
Intercept	0.096	0.090	0.181	0.138
	(0.052)	(0.044)	(0.053)	(0.041)
	p = 0.067	p = 0.041	p = 0.001	p = 0.001
Observations	587184	356988	577890	127263
Log Likelihood	−1098897.000	−581594.400	−1175353.000	−200281.500

The baseline is represented by the average of corresponding months in 2018 and 2019. Models include time in residential areas from Google’s COVID-19 Community Mobility Report (see https://www.google.com/covid19/mobility/; accessed on 30 June 2020). Random intercepts included for countries.