Generative artificial intelligence (GAI) usage guidelines for scholarly publishing: a cross-sectional study of medical journals

Table 2 Journal characteristics and coverage of different GAI usage guidelines

	Top SJR ranked journals (n = 200)	Random sample of non-top SJR ranked journals (n = 140)	P value^#
Journal characteristics
SJR score, median (Q1, Q3)	4.7 (3.6, 7.3)	0.5 (0.2, 0.9)	< 0.01
Region, n (%)
Northern America	96 (48.0)	37 (26.5)	< 0.01
Western Europe	102 (51.0)	50 (35.5)
Other regions^*	2 (1.0)	53 (38.0)
Focus area, n (%)
General medicine	40 (20.0)	31 (22.0)	0.65
Specialty areas	160 (80.0)	109 (78.0)	0.65
GAI guidelines^¶
Author guidelines, n (%)
No guidelines	10 (5.0)	19 (13.3)	< 0.01
External guidelines only	30 (15.0)	49 (35.1)
Own guidelines only	8 (4.0)	5 (3.6)
Own & external guidelines	152 (76.0)	67 (48.0)
Reviewer guidelines, n (%)
No guidelines	15 (7.5)	19 (13.3)	< 0.01
External guidelines only	87 (43.5)	86 (61.7)
Own guidelines only	3 (1.5)	5 (3.6)
Own & external guidelines	95 (47.5)	30 (21.5)

Footnote: Raw counts, weighted proportions, and weighted P values were reported. Q1, 25^th quantile, Q3, 75^th quantile
^#Differences between the two groups of journals were analyzed using Wilcoxon Rank Sum tests, Chi-Square tests or Fisher’s exact tests. Fisher’s exact tests were used when the count in certain cells was less than five
^*Other regions included Africa, Asiatic region, Eastern Europe, Latin America, Middle East, and Pacific region
^¶GAI guidelines of each journal were classified into four groups based on whether own and/or external guidelines were covered. Own guidelines refer to guidelines provided by journals and/or their publisher. External guidelines refer to guidelines provided by COPE, ICMJE, and WAME

ISSN: 1741-7015