Table 3. Baseline characteristics of eligible papers included in the study-level analysis.
|
Variable |
Category |
Value |
|
Radiology subfield, count (%) |
Neuro |
222 (53%) |
|
Musculoskeletal |
73 (17%) |
|
|
Chest |
49 (12%) |
|
|
General or multi-system |
33 (8%) |
|
|
Pediatric |
21 (5%) |
|
|
Genitourinary |
9 (2%) |
|
|
Cardiovascular |
8 (2%) |
|
|
Dental |
6 (1%) |
|
|
Publication type, count (%) |
Journal article |
403 (96%) |
|
Preprint |
14 (3%) |
|
|
Conference paper |
4 (1%) |
|
|
Scope of journals, count (%) |
Radiology or imaging-related |
170 (40%) |
|
No |
251 (60%) |
|
|
Focus of journals, count (%) |
AI-focused |
14 (3%) |
|
No |
407 (97%) |
|
|
h-5 index of journal, median (IQR; 25th–75th percentiles) |
- |
67 (70; 44–113) |
|
Impact factor quartile, count (%) |
Q1 |
222 (53%) |
|
Q2 |
116 (28%) |
|
|
Q3 |
29 (7%) |
|
|
Q4 |
17 (4%) |
|
|
No |
37 (9%) |
|
|
Top 10 most frequent publication platform, count (%) |
International journal of imaging systems and technology |
21 (5%) |
|
European radiology |
11 (3%) |
|
|
IEEE access |
11 (3%) |
|
|
Insights into imaging |
10 (2%) |
|
|
PloS one |
10 (2%) |
|
|
Arxiv |
9 (2%) |
|
|
Radiology |
9 (2%) |
|
|
Computerized medical imaging and graphics |
9 (2%) |
|
|
Computer methods and programs in biomedicine |
9 (2%) |
|
|
Computers in biology and medicine |
8 (2%) |
IQR, interquartile range; AI, artificial intelligence.