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Fast, scalable, and automated identification of articles for biodiversity and macroecological datasets Cornford et al., 2020 This release contains the code and data required to reproduce the analyses of the above paper, in addition to demo code which facilitates the quick and easy fitting/application of text-classification models. Please see the README for further details.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 14 | |
| downloads | 3 |

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