Table 1.
Summary of articles using genetic simulations surveyed from five selected journals
| Genetic Epidemiology | Bioinformatics | American Journal of Human Genetics | Nature Genetics | Evolution | Total | |
|---|---|---|---|---|---|---|
| Total articles surveyed | 134 | 277 | 354 | 364 | 280 | 1409 |
| Articles with genetic simulations a | 97 (72.4%) | 100 (31.6%) | 44 (12.4%) | 82 (22.5%) | 100 (35.7%) | 423 (30.0%) |
| Among the articles with genetic simulations and abstracted | ||||||
| Articles that perform simulations with pre‐existing software | 27 (27.8%) | 26 (26.0%) | 12 (27.2%) | 21 (25.6%) | 31 (31.0%) | 117 (27.7%) |
| Articles that make simulated data set publicly available b | 2 (2.1%) | 13 (13.0%) | 2 (4.5%) | 4 (4.9%) | 28 (28.5%) | 49 (11.6%) |
| Articles that make source code for simulations available b | 2 (2.1%) | 18 (18.0%) | 6 (13.6%) | 9 (11.0%) | 47 (47.0%) | 82 (19.4%) |
| Articles that make use of existing simulated data sets | 0 (0%) | 7 (7%) | 0 (0%) | 0 (0%) | 1 (1%) | 8 (1.9%) |
a
For each of the five journals, we surveyed either 100 articles with genetic simulations or all articles with genetic simulations in the past 2 years. We were able to survey 100 articles in the journals of Bioinformatics and Evolution, but fewer than 100 articles from the other three journals.
b
The numbers include data sets and source code that were not immediately available (embargoed) but were available upon request. We did not contact the authors to confirm the availability of such data or source code.