Table 1. Prevalence of articles with pathway knowledge suitable for Biofactoid.
| ISSN | Journal* | Coverage² [Vol. (Issue)] | Articles screened | Hits | % Hits |
|---|---|---|---|---|---|
| 2211–1247 | Cell Reports | 30(1) - 32(11) | 953 | 109 | 10.3 |
| 1097–4164 | Molecular Cell | 73(1) - 79(6) | 725 | 85 | 10.5 |
| 1549–5477 | Genes & Development | 34(1-2) - 34(17-18) | 93 | 15 | 13.9 |
| 1476–4679 | Nature Cell Biology | 22(4) - 22(9) | 84 | 10 | 10.6 |
| 1083–351 X | Journal of Biological Chemistry | 295(31) - 295(37) | 210 | 21 | 9.1 |
| Total | - | - | 2065 | 240 | - |
| Weighted Average | - | - | - | - | 10.4 |
Only journals in which at least 80 ‘hits’ were identified were included. A ‘hit’ is an article that provides direct evidence for a molecular interaction that can be captured by Biofactoid. The ability of Biofactoid to capture an interaction depends upon the type of bioentities, the relationship types and organisms described in the article. In total, articles from 16 journals were screened: EMBO; Molecular and Cellular Biology; Cell; Cancer Cell; iScience; J Biol Chem; Cell Metabolism; Science; Nature Genetics; Science Signaling; Science Advances; Immunity; Cell Reports; Molecular Cell; Genes & Development; Nature Cell Biology. ²Coverage indicates the span of journal issues that were included. Only primary research articles from each issue were screened.