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These two datasets represent the biomedical literature (Medline abstracts and PubMedCentral articles) in the "document-concept matrix" format produced by TDC Tools. These datasets can be used in downstream IR applications such as Literature-Based Discovery. Each of the two datasets corresponds to a specific data extraction method, see details here and in the paper linked below. Paper: pending Code: https://github.com/erwanm/tdc-tools Documentation:https://erwanm.github.io/tdc-tools/ Important: the raw data from which this data is derived was downloaded from Medline, PubMedCentral and PubTatorCentral, provided courtesy of the U.S. National Library of Medicine (NLM). The data was extracted in January 2021 and do not reflect the most current/accurate data available from NLM. See the github repository above in order to generate similar datasets from up to date data.
literature-based discovery, bioinformatics
literature-based discovery, bioinformatics
| 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 | 2 |

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