Research Article
Study on Contribution of Different Journal Evaluation Indicators to Impact Factor Based on Machine Learning
Table 10
The loss of each indicator in input perturbation method based on deeper neural network.
| Journal evaluation indicator | MSE | MAE |
| Origin | 0.2572 | 0.2631 | Number of regions | 0.43305 | 0.534394 | Ratio of funded paper | 0.43330 | 0.534522 | Average number of authors | 0.43288 | 0.534569 | Average number of citations | 0.43093 | 0.533971 | Citing half-life | 0.43286 | 0.534738 | H-index | 0.42829 | 0.533240 | Other-cite ratio | 0.43302 | 0.534505 | Immediacy index | 0.43288 | 0.534471 | Disciplinary impact index | 0.43304 | 0.534521 | Disciplinary diffusion index | 0.43256 | 0.534354 | Citation num | 0.42343 | 0.534203 | Total citations | 0.43234 | 0.553242 | Cited half-life | 0.43291 | 0.534099 | Literature selection rate | 0.43302 | 0.534546 | Number of institutions | 0.43838 | 0.541738 | Number of papers | 0.43440 | 0.555592 | Ratio of international paper | 0.43311 | 0.534530 |
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Origin means that no indicator is perturbed.
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