
The Citation Extraction and Classifier is a software that performs the automatic annotation of in-text citations in academic papers provided in PDF. It is developed within the GraspOS EU project. It is composed by two modules: PDF Citation Extractor. The software analyses the PDF paper provided as input and extracts its basic bibliographic metadata, all the bibliographic references with all its metadata marked up, the citation sentences that contain in-text reference pointers , and other structural information such as sections, when possible Semantic Citation Classifier. The software uses the output of the previous step to classify the semantics emerging from each citation sentence that will be used for characterising the function of the citation defined by the authors of the citing paper by means of the related in-text reference pointer. You can find more details in the GitHub repository: https://github.com/opencitations/cec
| 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 |
